Projects

pedestrian behavior

Pedestrian Intention’s Prediction: Another step towards the autonomous driving experience

Who has not dreamt of being able to get from place to place and avoid annoying commutes? Picture our cars as places where we can relax or talk, and not have to pay attention to the road. Most importantly, avoid the daily time waste of a routine trip to work. Today’s technology is taking giant…

YouTuber

Ultimate Youtube Influencer Guide

With the development of society, lots of people are using social media to entertain, record life, connect people around the world, and so on. Youtube is one of the most popular platforms in the thousands of social media and everyone can share their videos on Youtube to let others watch it. The goal of the…

UImage's Features

UImage: Let the Photos Speak for Themselves

In a new era where videos, photos, Tiktok, and Instagram are predominant, there is a huge potential to invest in technologies related to images so that every business can be at the forefront of extracting more information from photos to maximize profit. To address this issue UImage is here to help. It is a software…

Travel4all

New Travel Recommendation System

Traveling is an extremely popular activity. Whether it be for business or for pleasure, people love experiencing new places and learning about new cultures, but oftentimes, figuring out the logistics of one’s travel plan is a complicated and daunting task. The goal of Travel4All is to assist the user in the process of finding a…

Permafrost

The Future of Permafrost

The melting of the permafrost is one of the biggest yet least-talked-about consequences of global warming. The permafrost is a layer of frozen soil, located in areas near the arctic, that stays frozen for several years. There are many concerns with permafrost melting, but one of the biggest issues is related to its effect on…

SquatAssistant Demo

Berkeley Students Help You Squat with a Digital Personal Trainer

Due to the COVID-19 shelter-in-place guidelines, many gym-goers have shifted their workout routines to their homes. However, without personal trainers, many of these gym-goers are struggling to do their exercises, particularly squats, correctly and are subject to injuries. As an initiative to solve this, a group of five UC Berkeley students have used cutting edge…

Spotify Playlist

Recommend Me Something New: Spotify Data

Being dissatisfied with Spotify’s current recommendation engine, a group of UC Berkeley students have created new ways to help users understand their music taste and recommend better music. Users can visualize their musical data in a more interactive way, and can now listen to more than just the repetitive song recommendations that Spotify is currently…

Mood Predictor for Music

Determining User Mood Based on Music Streaming Patterns

Students in this project were interested in determining how to make music streaming services a more personalized and enjoyable experience. This led to a project called Song Mood Detection. Users had the ability to determine the mood of a song, mood of a playlist, or mood based on their own music streaming patterns throughout the…

Recipe Recommendations

Staying in tonight? Here’s what’s cooking

A group of 6 UC Berkeley students recently teamed up to tackle an issue they all faced in the kitchen each day: deciding what’s for dinner. With limited ingredients in their typical college apartments, the students dreamed of a platform where they could share and discover new, delicious, yet simple, recipes. Over the course of…

Perfect Signs

Star Crossed, Validated Love with Perfect Signs

Can astrology guarantee you a partnership that grants a lifetime of happiness? What about scientific, data-driven algorithms that match profiles in dreamy love connections? Three students at UC Berkeley set out to do just this by combining the ancient philosophies of zodiac compatibility with cutting-edge machine learning methods in their revolutionary product, Perfect Signs. Unsatisfied…

PayAttention's Demo

PayAttention – Video Conferencing Emotion Analysis Tool

With the recently increased usage in video conferencing, many people have been able to communicate with coworkers from the comfort of their homes. However, video conferencing loses some of the key physical cues that people use to properly and fully communicate with each other. Thus, the limitations of video conference calls can lead to a…

Netflix4Travel

Your Travel Inspiration After COVID

Have you been pondering at the home where to go after the COVID pandemic is over? Have you ever had a tough time deciding on where to go for your summer vacation, spring break, or a short holiday with your loved ones? Checkout Netflix4Travel. Netflix4Travel uses a smart recommendation system to recommend exciting new places…

Medical Coding Application

Smart Compose for Medical Applications

If you are a doctor or clinician, besides meeting with patients and giving out diagnosis/treatment, a large part of your daily job probably involves writing patient examination reports, which are translated to medical codes and sent to insurance companies to determine the amount of money they have to pay you. In fact, doctors on average…

Lumen Energy Process

Lumen Energy Powering Cities Globally

A team of students from the University of California, Berkeley created a data platform that profiles buildings for their suitability to clean energy. Currently, global decarbonization requires a swift deployment of new renewable energy infrastructure. Fortunately, many buildings can now be powered profitably by local clean energy. Yet only 1.6% of the 125 million buildings…

Lumen's 3D Model

Solar or Not Solar: Lumen Energy Makes Strides in Image Classification

Environmentalists and industrialists alike can finally put aside their differences and appreciate a new model developed by UC Berkeley students for Lumen Energy, a San Francisco Bay Area-based startup. This model can be used to identify the presence of solar panels in satellite rooftop imagery with 98% accuracy, allowing Lumen to determine which buildings already…

Hashtag Generator

A Hashtag Generator for Social Network Image Postings

Social networks are one of the most popular media in the 21st century. People share their pictures and images through posts every day. However, have you ever run into the problem of staring at the pictures for more than ten minutes but still could not come up with the appropriate words for hashtags? If yes,…

Berkeley Index for Tenacity

Berkeley Index for Tenacity (BIT) – A tool that lets you know how gritty you are!

“Great works are performed, not by strength, but by perseverance.” A famous quote by Samuel Johnson explains how perseverance is a better indicator of success than any other strength. A team of students in SCET’s Data-X course developed a tool to quantify and help build the grit levels in an individual.  Inspired by Angela Duckworth’s…

Private vs. Public Real Estate Investing

HomeFundr: Informed Real Estate Investment

HomeFundr’s design is to help users of all experience levels make informed decisions in their real estate investments. This application allows users to make preference choices that align with their dream home, and our moving average based model provides estimates on valuation and ROI up to 20 years in the future. HomeFundr searches through current…

Job Hunting Strategy

Let us help you find the most suitable job!

Job hunting can be quite frustrating, and it is not just about an eye-catching resume. You need to know how your knowledge level locates you in the job experience level, what kind of extra skills you need to master, also you would like to know the appropriate salary range for the job you are looking…

forecasting e-commerce

Demand Forecasting for e-Commerce Platform

With customers’ increasing dependence on online shopping in recent years, consumers are increasingly demanding on timely services provided by e-commerce platforms. In order to efficiently meet the needs of consumers, the e-commerce platform needs to implement a 4R model: to send the right products to the right customers at the right place and at the…

How Crowdsafe Works

UC Berkeley Students Use Real-Time Occupancy Data to Help First Responders

Firefighters and other first responders are often faced with uncertainty, time pressure, and the reality that their decision will literally result in life or death. According to the National Fire Protection Association, one fire-related death occurs approximately every two hours in the United States. Moreover, this year marks the sixth consecutive increase of fire-related deaths,…

Crime Word Cloud

San Francisco Safe House

A team of UC Berkeley students led by Industrial Engineering faculty invested their knowledge in modern machine learning technologies into the creation of a simple but effective forecasting tool, called Safe House, that both, individual citizens and law enforcement, are able to use to make their decisions more effectively. San Francisco is the nation’s leader…

Covid-19

COVID-19 Predictor

The COVID-19 Predictor spreads awareness of the severity of coronavirus by allowing users to estimate the total infected in their region in the near future. This is accomplished by allowing the user to choose their country and how far into the future they want to see, then fitting the growth rate of their region to…

Coach – Fitness at Your Fingertips

Fitness at Your Fingertips

As many already know, the novel coronavirus pandemic has caused lockdown procedures to take effect in nearly all states across the U.S. and even the entire world. Paradoxically, many people find themselves with more time on their hands to start the exercise routine that they’ve always talked about but lack access to the gym. Others…

Tesla EV

Beyond EVs: Electric Vehicle Data Analysis

The automotive industry is undergoing an electric revolution, as the world embraces the next generation of sustainable transportation. However, the availability of reliable electrical infrastructure is a major constraint for mainstream EV adoption. As more private and public investment is made into tackling this problem, it is crucial to start thinking more about questions such…

About BOOST

BOOST: How 5 UC Berkeley Students Can Improve Your Well-Being

Can a test be used to assess one’s well-being? Five master of engineering students have used modern machine learning tools and psychological practices to create a new tool called BOOST to assess one’s well-being, and make personalized suggestions for improving it.  The journey began when the students met in the program and found that they…

Berkeley Jockey Club

Berkeley Jockey Club Explores Horse Racing Models to Show Positive Returns at the Track

Berkeley Jockey Club was founded in January ’20 by four UC Berkeley students – EJ Gardiner, Ethan Dixon, Tyler Umansky and Cole Striler – inspired by the story of Bill Benter from the 1980s. They sought to mirror and improve the algorithms produced by the billionaire, using data from racetracks in Hong Kong. They created…

NBA Awards Predictions

Predict NBA Player Awards Using This Athlete Projection System!

Each year, the NBA gives out awards for players that played well throughout the entire season. These awards include the All NBA-Team, All Defensive-Team, All-Stars, and the coveted MVP (most valuable player). Besides just winning, the player awards also have ramifications on salaries as well. An award results in higher maximum salaries for players (bonuses)…

Introducing Apartment Ranker

New Website Recommends Best-Fitting NYC Apartments for Students

Searching for housing while attending a university can be very difficult, especially when it comes to students who have no experience with the housing market. Most college students are living by themselves for the first time away from their families, and when they’re looking for housing, they may not consider things they should consider. For…

Project Description of Anchain Group 2: Bot Detection

Accurately Detect Bots in Blockchain System

Companies care about bots a lot! While good bots can be used to automatically test the system’s effectiveness, bad bots can “disguise” as normal business activities and block consumer usage and swipe their data, causing an average of $6 million in transaction volume per day! However, bot behaviors can vary so much and be so…

Trust Air Travel

(AI)r Travel Simplifies All Kinds of Travel

Are you tired of spending yet another day in the same sweatpants you’ve worn all week scrolling through your camera roll and looking at old memories of you going outside and actually doing things? It seems like forever ago when we could call up a friend for brunch or hop on a flight for a…

maia: AI for music creation

Join maia on her musical journey of self-discovery and development. Experience the maia’s creativity and diversity as she continues to matures into a professional composer. Browse her latest works and discover the practical and theoretical unpinning that powers maia. Our story We started out with the intention of creating an AI that could complete Mozart’s…

Paradigm Team 2

The project is geared towards developing a model that predicts the influence of news articles on cryptocurrency prices using sentiment analysis on a single article basis. The model is to serve as the back-end technology for Paradigm, a platform that automates Over-The-Counter (OTC) crypto trading for institutional crypto traders within a native chat application. The…

Supply Chain optimization for manufacturers (Deepvu)

Is the market steeling your profits? Look no further, we have a solution for you! The best technologies are the ones that blend into everyday life. Since the invention of steel, we have been able to develop more technologies ranging from various tools (self-defense, basic utility) to building beautiful, massive infrastructures. As a consumer, steel…

Leveraging Data to Reduce Food Waste

With a growing population and degrading environment, better decisions must be made to more sustainably distribute food. According to the Food and Agriculture Organization of the United Nations, ⅓ of food produced for human consumption is lost or wasted.1 Determined to reduce these statistics using data, the team decided to tackle the problem with retailers,…

Data-Driven Road Safety Evaluation

Predict road safety level with merely satellite map images! AI for Good Foundation brought our attention to the traffic safety around the world. There are so many injuries and death due to vehicle accidents. The team wanted to figure out the relationship between traffic safety and road design. The findings on road design features can…

Alameda Shipyard [Boats n’ Codes]

Bayship and Yacht Company keeps track of data involved with their painting department. This data represents the time taken to complete several main processes. Currently, they use the average square footage rate from the data to predict how long the next task will take. Using models such as Simple and Multivariate Linear Regression allows Bayship…

Clubhouse

The 21st century has witnessed the birth of data analytics in baseball. Almost every professional organization has an in-house data analytics team dedicated to providing player insights, scouting reports and game predictions. Each team has access to tons of private data which they use to give themselves as much of an advantage as possible both…

Ocean Health

Berkeley Undergrads use Machine Learning to Understand Concerns of Ocean Pollution Link to Published Medium Article: https://medium.com/@subhikshamani/berkeley-students-use-machine-learning-resolve-concerns-of-ocean-pollution-adf36e72d2a3 Tackling floating debris in the ocean is a challenging problem to resolve. By the time plastic ends up in the middle of the ocean, most of it has been disintegrated down to small, microplastic-sized particles and sits suspended…

SciKid-Learn

SciKid-Learn is a project aiming to create a highly personalized education platform for both students and educators in order to improve the learning process and the quality of educational investment. To build the learning model for individual users, data from them are used by collecting their answers to academic questions into the database and analyze…

BikeChain

Bike theft is rampant in the Bay area and one startup out of UC Berkeley aims to stop the problem in its tracks. This team of students is working to create an app for police officers to predict where the next bike theft is going to happen and when. By collecting publicly available data, these…

MinimalE

Minimal-E (Palo Alto, CA) has launched a revolutionary online platform that will allow facility managers, utility companies, city commissions, and building automation systems to implement better energy saving plans and storage systems for commercial buildings with minimal data. Such forecastings have been a challenge due to lack of extensive historical data, but Minimal-E’s revolutionary machine-learning…

AI For Good, Urban Development (GOLF)

Every year, political turmoil and environmental disasters displace millions, causing crises that carry over to nations accepting refugees. According to the United Nations, there are currently more than 25.4 million refugees, the highest ever amount. Host governments are faced with difficult decisions to balance humanitarian needs and the desires of their citizens, which often results…

Predicting Neighborhood Safety

The accessibility of commercial data has now exceeded that of federal data in certain cities and categories. For example, there are now Airbnb reviews datasets available in cities where no official crime dataset or a crime events map available to the public. Our team saw an opportunity from this observation and decided to create a…

DJGan

UC Berkeley builds AI to completes Mozart’s unfinished pieces. At the time of his death in 1791, Mozart had only composed as far as the first eight bars of the Lacrimosa movement in the Requiem. More than 200 years after his death, students at UC Berkeley, taking the hallmark DataX course, had built an AI…

Foundation

Foundation allows users to receive feedback on their lifts without the need for a personal trainer Many gym-goers want to improve their lifting technique, but many either don’t want to deal with the risk of self-teaching, the cost and scheduling hassle of hiring a personal trainer, or the clunkiness and delays associated with consulting an…

Anomalous Electricity Consumption Detection

Have you ever thought about the scenario to get an in-time alert about your electric energy usage? Residential and commercial buildings consume around 40% of the total energy generated in the US. There have been developments to mitigate these inefficiencies but they are still very basic and there is a lot of room for improvement.…

Realest8

See whether a property is worth more when rented on Airbnb or rented regularly with this app! Traditional hotel domination of the short term leasing market has declined for the past decade due to the emergence of Airbnb and its competitors such as FlipKey and HomeAway. Airbnb created a new category within the accommodation industry,…

Cal Water Polo

In May 2017, the UCLA Bruins met the Stanford Cardinal for the third time in four years in the title game of the NCAA women’s water polo national championship tournament. And for the third time in four years, UCLA lost. This time, Stanford’s Maggie Steffens stole the ball, and in the final seconds of regulation,…

Everybody Dunk Now

More than 20 million people tune in to NBA games every season to watch their favorite athletes perform amazing feats of athleticism; however, whether attending a game or watching a broadcast, fans are always spectators. Seeing this limitation, our team wanted to reconsider fan engagement, prioritizing the active role of the fan–and what better way…

DataX Naming Matters

What’s in a name? For entrepreneurs, selecting the right name for a company or product is vital. Great names can increase product memorability and trust, as well as sales. In short, naming matters. However, finding a fresh, unique name in oversaturated markets can be an extremely difficult, time-consuming process. Berkeley startup Naming Matters aims to…

Future Energy Systems: RL for energy optimization

Are you looking to reduce your electricity bill? Well you’re in luck. The massive growth of smart meters creates a new era in which intelligent systems can provide novel services to electricity customers. As people are becoming increasingly aware of their carbon footprint and rising electricity bill, many are looking to optimize their household energy…

Predicting Traffic Safety in Chicago

A study by the World Health Organization reveals that there are approximately 1.25 million annual fatalities from traffic accidents. Despite advancements in traffic safety and road conditions, there is an approximate annual rate of 5.5 million accidents in the United States. Further analysis of accident features such as road conditions, driver behavior and weather can…

Use High Frequency Data for Smart House and Microgrid Optimization

Great news! UC Berkeley students are making predictions about future energy usage for home appliances. By serving more efficient and smarter energy, they hope to make people’s lives better and more sustainable. They obtained their data from ETH Zurich websites, which includes data points recorded every second by smart meters installed in home appliances with…

Gentrification Analysis and Prediction

Our project centered around find a solution for the problem of creating a method of identifying viable classifiers for gentrification. In constructing our project our first obstacle was to avoid the problem of incorrectly assuming that specific socioeconomic trends such as a rise in average housing prices or an increase in average income across a…

Predicting Gambling Decisions

On Tuesday December 4, a group from SCET’s Data-X class presented on a project focused on predicting gambling decisions from brainwave electrocorticography (ECoG) data. The motivation behind this project was based on societal implications such as applications to law and regulation of the gambling industry, clinical practice in understanding how neurodegenerative disease or trauma affect…

Resume Bullet Point Suggestion Engine

As job seekers, we are always adding to, revising, and (hopefully) improving our resumes. After returning from summer internships, everyone on our team had the same problem. How do we sell our new summer experiences on our resume? Articulating new experiences can be hard. Most people resort to Googling for examples, but it’s difficult to…

Mindful

Mental health is something that affects all people, whether or not they realize it. The distinction between the depressed and mentally healthy is not always as clear as some make it out to be. There exist many undiagnosed individuals in the grey area between depressed and healthy, and many individuals who could benefit from mental…

Media Bias

Every news story, narrative account, op-ed, letter; every article is colored by the bias of an author’s experiences, beliefs, and current knowledge. Media bias, fact-checking, and social media screening have been hot topics at some of the most important Artificial Intelligence conferences, attracting workshops, keynotes, and endless panel discussions asking how we might identify and…

Modelling Carbon Sequestration Rates (AI for Good)

With a noticeable increase in anthropogenic carbon dioxide emissions, climate change is one of the most influential problems facing society. The release of greenhouse gases, such as carbon dioxide, into our atmosphere results from a variety of different human activities, including the burning of fossil fuels and the production of electricity, with one of the…

CryptoCurrency Analysis

This just in! A team of undergraduate statisticians and programmers at the University of California, Berkeley have just finished developing a cryptocurrency website! The group created an interface for the average joe to investigate crypto prices and receive trustworthy recommendations rooted in statistics and mathematics as to where someone should invest their money. No need…

Twitchly

Twitch is an online live streaming video platform that primarily focuses on video game streaming and esports broadcasts. Twitch users often find that discovering new and interesting channels on Twitch is difficult due to the large amount of content on the site. Users don’t want to sift through thousands of popular streamers just to find…

xplor

Finding the right travel accommodation has never been easy. There are so many factors to consider, and online listings almost never include all of the relevant information travellers are looking for. With the rise of AirBnB as a popular accommodation option and the thousands of traditional hotel chains, travellers are stuck jumping from site to…

Paradigm Team 1

Predicting the Impact of Articles on Bitcoin’s Price Change The burgeoned interest in cryptocurrency in recent years has led to a rise in investment of bitcoin. Ever since its release in 2009, bitcoin’s price has been fluctuating and investors have spent lots of effort speculating and predicting the change in bitcoin’s price. Our team finds…

Instagram Posts Analysis

A group of 5 students from Data-X has recently release a project called Instagram Post Analysis that can predict the number of likes you can get on a photo as well as recommend the time you should post at. Their project uses a model that would directly learn from your own personal Instagram profile to…

PrISM

One of the biggest problems that advertisers face is finding the best social media influencers to promote their brands. In this industry, which is projected to hit 10 billion dollars by 2020, finding the right influencer is important. To tackle this problem, five UC Berkeley undergraduate students set out to help companies find influencers to…

NightCrawler

Do you pay exorbitant amounts of money every year on a home security system? Do you rely on closed circuit security footage to protect your house? Do you opt not to have a home security system entirely because it would be too costly – both for your wallet and your schedule – to maintain? If…

Project Course-to-Career (C^2)

A Matching Service for Jobs?: Course2Career Helps Students Find their Career Beginnings With recruiting season coming around the corner at colleges nationwide, hundreds of thousands of students are looking for job and internship opportunities to begin their careers. These students fill out hundreds of applications and spend hours of their time finding the right opportunities.…

Researchably: NLP for the Pharma Industry

$600 for a life-saving EpiPen? The pharmaceutical industry has been a target of criticisms for their prices. Costly drug research and development is commonly cited to be among the reasons for these high costs. To be sure, the lack of new tools that can streamline the research process is contributing to the plateauing rate of…

The Jokester

When it was first pitched during the Data-X lecture, “The Jokester” had a simple premise – how do we ensure that comedians are delivering original material? With so many comedians, particularly stand-up comics, accused of plagiarism, we knew that we had a market to play with. As we started to gather our team members, we…

DeepVu

In the supply chain industry, manufacturers’ ability to forecast prices of raw material is paramount to optimize production. A tailored buying strategy can reduce costs of production and increase revenue for manufacturers. Over the years, scientists have produced many techniques and models to address these challenges, giving birth to the science of Supply Chain and…

Tenguins: Forecasting US Elections

PredictIt is a bright light in the heavily regulated political betting space. It’s only legal in the US due to its affiliation with Australia’s Victoria University. And it’s the platform the Tenguins, a scrappy group from Berkeley, CA, used to develop their proprietary technology. Let’s get into how they did it, but first a little…

Delp – Revolutionary NLP Powered Food Recommendation

Yelp is a fantastic service for helping you find a good restaurant to eat at; in some instances it even compiles a directory of popular dishes for you to consider. But therein lies the problem: what dish do you choose? Sampling out every dish is not an option with a limited budget, and so you…

Predict property rates up to 2 years in the future with this app!

Introduced by Tuhin Sarkar, Vatsal Rathod, Victor Okoro, Pierre-Louis Ehret, and Aayusi Biswas The real estate market has been an important section of society ever since civilizations came into existence. Analysis of the real estate market has been an integral part of the decision making procedure. Our application works on machine learning algorithms to predict the…

Explore global food production potential with Project Eden’s ILUM

Project Eden has launched its first product: ILUM (Interactive Land Use Map). The web application allows users to explore the food production reality and potential at a global scale. Anyone, from large agricultural producers to amateur backyard growers to the scientifically curious, can get some use out of the app. ILUM provides visual information on…

Efficiently manage emails with Flo

As a TA for one of the large undergraduate classes at UC Berkeley (some approaching a thousand students), Rohan Lageweg found himself spending countless hours answering hundreds of emails from students. As the semester dragged on, he began to notice that many of the emails were similar in content, and many of his replies were…

Cryptorion informs investors when to buy, sell, or hold cryptocurrency

Bitcoin is the first decentralized digital currency and is built on truly transformative technology. Some experts call bitcoin “the currency of the future” and, Twitter’s CEO stated his belief in its future potential: “The world ultimately will have a single currency, the internet will have a single currency. I personally believe that it will be…

Naming matters: Identifying common-law trademarks with machine learning

Introduced by Keeley Takimoto, Kevin Chow, Atul Madhugiri, Hannah Burak, and Andrew Nichol Companies choosing names for their entity spend thousands of dollars on reports which identify their legal risk for a trademark suit based on their company name and industry. These reports are assembled by hand with results from manual database searches in extremely inefficient…

Determine user sentiment on Twitter with this algorithm

Introduced by Arnav Vaid, Adithya Iyengar, Rohan Phadte, Suhas Rao, and Yash Sanghrajka As a team, we noticed there was a key problem that companies and individuals face when looking at sentiment. While there are a variety of different sentiment analyzers already, it is hard to create individualized models for sentiment on a topic on social…

Figure out “What to Eat” ahead of time with this new website!

This new website provides a fast and easy way of searching up the most-ordered and highest-rated foods at a restaurant. Pulling from Yelp’s reviews, the team has developed an algorithm that uses natural language processing to find the item most ordered at the restaurant. Then, based on those reviews, sentiment analysis is used to determine…

UC Berkeley students created a website that can help visualize earthquake waning systems

Introduced by Krystal Ren, Jerry Jiehan Wang, Endre Hauge Paulsen, Mari Hovem Leonhardsen Earthquakes occur almost every day all over the world. Geologists and engineers have been working hard on how to develop a reliable earthquake early warning system to reduce the casualties as much as possible. But for the people without any geographic and…

‘The perfect song for the perfect moment’: A tool to make your Spotify surfing simpler

The perfect song for the perfect moment. Ever since the release of Spotify in 2006, millions of songs have been uploaded and streamed digitally. As a company, Spotify has poured millions of dollars into finding the right music at the right time. We wanted to carry out that same mission with our own knowledge from…

Take cover! SkyAlert detects earthquakes early

Introduced by Kapilesh Ramesh, Richard Man, Rijul Mediratta, Siddhant Issar, and Xianpeng Wang Earthquakes are some of the most devastating natural disasters known to mankind today. They are caused by the faults on earth’s continuously moving tectonic plates. The earthquakes result in a release of stored energy in the form of waves which, depending on the…

Decode transaction data information

E-commerce allows consumers to electronically exchange goods and services with no barriers of time or distance. Electronic commerce has expanded rapidly and is predicted to continue at this rate, or even accelerate. In the near future, the boundaries between “conventional” and “electronic” commerce will become increasingly blurred as more and more businesses move sections of…

Can data science change the way we invest in energy infrastructure?

Introduced by Negi Fazeli, Ahmed Issaouai, Patrick Lerchi, Marie Parent, and Shaojin Wei Investors in energy infrastructure are using outdated tools to bet on future electricity markets. By current market standards, prices are predicted with few features and over-simplified models. Furthermore, these old models are unable to adapt to forces that disrupt the usual trend of…

Artists can determine a song’s success rate with the Spotify Song Success Predictor

Introduced by Martin Ziran Xu, Ricky Pan, Liam Shi, Deep Mistry, and Brian Long Imagine you are a musician who doesn’t know what appeals to the world nowadays. With the advent of streaming services such Spotify, Sound Cloud, Apple Music, and Tidal, there are billions of songs out there — most of which don’t even get a…

UC Berkeley students create song predictions based on your mood

Introduced by Vivek Jain, Katharine Jiang, Natalia Layson, Rishabh Parikh and Regina Xu Songs have many different attributes attached to them, which make it hard to classify what songs a person might listen to based on their mood at the time. Although happy and sad emotions are the same for most people, the songs they…

UC Berkeley students invent algorithm to predict commodity prices

Introduced by Adam Yankelevits, Aaron Drew, Eric Yehl, Arbaaz Shakir, Priyadarsini Subramanian, John Stuart Electricity prices have risen steadily in the last decade, with a 20% growth in utility retail prices over the last 10 years. Energy Price Prediction, a machine learning project developed by UC Berkeley students, gives policy makers, energy market analysts and…

BioDigest: a new tool to revolutionize biogas production in China

Introduced by Devansh Jalota, Areeb Khan, Kunyi Ni, Anna Shang, Zhuxin Zhang Biogas production in China is highly inefficient due to the lack of control of the production processes. This team serves to solve this very problem by creating a data science pipeline that analyzes input biowaste data from two biogas facilities in China and informs…

DataMJB uses machine-learning for Shanghai housing market price estimation

DataMJB is a data-driven, machine-learning price estimation solution for the housing market in Shanghai. The project takes inspiration from success of home price estimation tools for the U.S market, built by Zillow and Redfin. With real estate prices skyrocketing in Shanghai, investors and homebuyers will find great value in a data-driven prediction tool that specifically…

Determine risk score of autism spectrum disorder with the Early Autism Detector

Students at UC Berkeley have created an application to help parents determine if their child under 2 years old is at risk of developing autism spectrum disorder. Currently, the standard official screening of autism in children is done at 2 years of age, when a majority of the symptoms have already manifested. While obtaining an…

BestRec: Highly personalized music recommendation system based on one’s mood and preferences

Few things stimulate the brain the way music does. Research shows that the music an individual wants to listen to doesn’t just depend on his/her music preferences of artists and genres, but also highly on his/her present mood. Taking the mood into account, the music being listened to can help one feel a lot better.…

Determine the best course for mental health treatment with this user-friendly web app

Much of today’s psychological research is focused on mental health treatment. Whether or not a mental health patient successfully completes their treatment depends on many different variables, and it is often difficult for professionals to determine what the best course of treatment is for a patient. Since 21% of mental health patients prematurely terminate their…

Data-X Students assist Breakthrough Listen at SETI in search for extraterrestrial intelligence

Introduced by Tin Hang, Anshul Jain, Pushya Mitra, Diego Silva, Arundhishaan Does life outside earth exist? To answer this question, scientists at the Breakthrough Foundation use radio telescopes to collect radio data from the planets in space. They believe these planets might be leaking out signals just like Earth, so they study the data to…

Instantly change the background of any portrait image with DeepMasque

Introduced by Yu-Chieh Lee, Sierra Park, Leo Li, Chris Chin DeepMasque takes in any portrait and outputs a state of the art alpha matte, an image of black (background) and white (foreground/person), which can be used to place the subject on a new background. DeepMasque automates the process of separating the subject from the background…

RiskEx makes trader-broker interactions more efficient

The world of OTC (Over-The-Counter) derivative trading is changing on an almost daily basis. As more traders enter the market and new assets like Bitcoin grow more common, traders need a scalable platform on which to manage their day-to-day operations. Currently, several chat-based platforms exist for traders and brokers to interact and conduct business. In…

Concept: Learning AI / ML by Modeling Human Social Trends as a Time Series

Human society today is being roiled by a combination of negative trends such as the rise of authoritarianism and populism, fueled by xenophobia and a fear of social change. At the same time, we can see a rise in positive / cohesive concerns for expanded human rights such as LGBT rights and empowerment of women.…

You can find your dream basketball lineup with NBA Make-A-Team

Introduced by Vikram Singh, Dong-Eun Suh, Karl Walter, Dian Yu and Francis Yang  NBA Make-A-Team, a new project developed by UC Berkeley students, gives NBA coaches, general managers and everyday fans the opportunity to select hypothetical starting lineups and get accurate feedback on how that basketball team would perform. This simple-to-use tool can project a team’s winning percentage…

Want to know the best time to book your flight? UC Berkeley students created a data set that can help

Introduced by Deep Dave, David Lin, Sharon Ng, Vanessa Salas and Alexandre Vincent As you can imagine, there is a wealth of data on most topics in the Internet Age. Data on stock prices, the housing market and energy consumption are just a few of the areas with a large amount of data available to…

UC Berkeley students start project to aid water supply research efforts in China

Introduced by Brandon Chou, Djavan De Clercq, Andrew Gonzalez, Charles Li and Rinitha Reddy Urbanization, one of the prevailing trends of the 21st century, places great stress on the water resources of cities across the globe. This stress is particularly pronounced in China,  a country that has seen rapid urban growth in the past few decades. This…

UC Berkeley students create algorithm that can predict your personality from your online photos

Introduced by Souhail Bentaleb, Guillaume Drugeot, Luna Izpisua Rodriguez, Farbod Nowzad and Ajay Shah Using data science and machine learning, a team of UC Berkeley students have created a program that  can tell an accurate and informative story about a person’s life — all from the photos that they post on social media. Typically, advertisers target…

A new tool can predict the best time for you to trade Bitcoin

Introduced by Olabode Faleye, Kazuomori Lewis, Vicente Izquierdo and Pedro Pablo Correa Bitcoin is one of the newest financial instruments to take the world by storm. This decentralized digital currency has been experiencing unprecedented levels of growth in recent months, proving itself as one of the most lucrative investment opportunities of our generation. As of…

UC Berkeley students create a new way of assessing knee injuries

Introduced by Claudia Iriondo, Devina Jain, Raouf Muhamedrahimov, Vasileious Papanikolau, Kosta Trotskovsky and Leo Sun More than 25 percent of adults in the United States suffer from knee pain, creating an urgent need for an efficient way to match patients who have cartilage and bone lesions with effective treatments. Patients undergo Magnetic Resonance Imaging (MRI)…

UC Berkeley students create app that can tell you why you’re having car troubles

Introduced by Nicholas Hirons, Julian Kudszus, Soham Kudtarkar and Spencer Lee Mechanics spend a lot of time diagnosing car issues and performing tests, but oftentimes customers aren’t sure if their cars are getting the service they need. But a new web app created by UC Berkeley students could change this. The algorithm takes standard information…

This new tool can help you jumpstart your data analysis in minutes

Introduced by Jordan Cox, Rob Holbrook, Ramon Lim and Stephanie Zhu Oftentimes, even just preparing data for analysis can take significant time, effort and knowledge. But now, a group of UC Berkeley students are introducing a solution to make data analysis a little bit easier: The Match ‘n’ Merge Application. Powered by Python, JavaScript and HTML, the Match…

UC Berkeley students create model to predict a person’s likelihood of experiencing depression

Introduced by Jillian Chan, Yuyang Pan, Simarjeev Singh and Yin Zhang The Anxiety and Depression Association of America estimates that 16.1 million people in the United States are impacted by major depression. Yet, depression is severely underdiagnosed and only a fraction of the people affected by it will ever receive treatment. But now, a team…

UC Berkeley students create app that can map your safest route home

Introduced by Bilal Halabi, Seung Woo Son, Ki Hyun Won and Avery Yip  At times, living in Berkeley can feel unsafe. Shootings, violent demonstrations and robberies are just a few among many incidents that have threatened Berkeley students living on campus this year. To address this problem, a team of four UC Berkeley students who…

UC Berkeley students gain insight into social media photos and personality type

Introduced by Youhee Choi, Jeff Gonda, Kexin Huang, Jackie Kim and Yuntao Wang When so much of our digital presence is dictated by our social media accounts, we find ourselves subconsciously having a “first impression” of people based on their profiles. So last semester, a team of UC Berkeley students, Jackie Kim, Jeff Gonda, Kevin Feng, Kexin…

Don’t know where to eat? This new tool can make your decision for you

Introduced by Yiqi Lin  Choosing which restaurant to eat can be difficult and time-consuming, especially for the indecisive. Websites like Yelp, TripAdvisor and Zomato are meant to help you find a place to eat, but offer so many options that it can become overwhelming. Eat Easy, a project developed by UC Berkeley Data-X student Yiqi…

UC Berkeley students find a better way to fill empty data set values

Introduced by Jake Mainwaring, Chase Smith, Cyril Tamraz and Lawrence Yan This December, a team of four UC Berkeley students presented a tool that could help data scientists deal with one of the most frustrating parts of their work: missing data set  values. Data scientists commonly address this problem by dropping rows that have missing…

UC Berkeley students are using data science to make the U.S. Air Force more efficient

Introduced by Andre​ ​Almeida​ ​Reggiani,​ ​Neel​ ​Davar,​ ​Rivers​ ​Jenkins,​ ​Phillippe​ ​Phanivong,​ ​Jia​ ​Xi​ ​Tay  Supervisors in the U.S. Air Force typically spend hours writing performance reports for each one of their employees. But they don’t have to anymore. A group of five UC Berkeley students have been working with the U.S. Air Force to speed…

This new app can tell you how innovative you are

Introduced by My Dinh, Jessica (Yuan) Gu, Aaron (Lin) Lu, Dayou Wang, Yan Zeng, Yujun Zou  What if a computer could tell you who to hire for a job? Or what career field you should consider entering? Well now, a group of six UC Berkeley students from the campus’s Data-X lab have created a tool that…

What do you want for dinner? This new app can tell you

Introduced by Pouriya Bagheri, Jennifer Chen, Jessica Kam and Dhruv Madaan There are dozens of apps that can help you decide where to eat, but what happens once you’re faced with the decision of picking an option off the menu? After getting you into the door of the restaurant, many of these apps fall short.…

UC Berkeley students create visualization tool to find investment opportunities in Greece

Introduced by Parsa Attari, Khalil Joseph, Yash Kirloskar, Amir Shahatit and Rami Shahatit   UC Berkeley students from Data-X, in conjunction with University of the Aegean in Greece, have recently completed a project that could illuminate previously unknown investment opportunities in Greece. With data provided by University of the Aegean, the students used web-scraping to…