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UCI Data Science Hackathon

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  • Participants (89)
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Connect with the participants – support your favorite projects by liking, sharing, and commenting on them.
Matrix Reloaded
Matrix Reloaded

Interactive Mobile Data Visualization and Analytics Platform

Winner Winner
Jianfeng Jia Xi Zhang Chen Li Gabriel Jiangbo Yu
5 2
Phone Matcher
Phone Matcher

Looking for a phone upgrade? Who better than an AI that knows your usage trends to suggest what's right for you.

Winner Winner
Prateek Malhotra Kishore Narendran Shiladitya Sen
2 0
SmartCells (Datathon2016)
SmartCells (Datathon2016)

Predictive network occupation using Kalman filters on cell towers

Winner Winner
James Hardjadinata Minh Thao Chan Loic Lv Tyler Ross
2 1
DataSmasherVisualization for iOS Smartphone
DataSmasherVisualization for iOS Smartphone

explore the network data from user's cellphone on your Apple Device

Winner Winner
Yaroslav Dukal Chad Lou
3 0
GeoMob
GeoMob

Geolocation analysis of Mob Mobile Data

Winner Winner
Andrew Wang Nathan Wu Chen Li
4 0
SmartAds
SmartAds

Revolutionizing how companies approach advertising by determining the most popular apps through mobility.

Sreeja Sthothra Bhashyam Chris Gala Thomas Kwak Siddhartha Desai + 1
0 0
adMOD
adMOD

Lets take some risks and make a few bucks

Lorenia Jimenez Saahil Khemnani Ney Congjuico
4 0
AppHelper
AppHelper

AppHelper reads user behavior to suggest apps and distributes app usage data to mobile carriers and app developers.

William Tjiptadjaja Samuel Lin Leon Yang Takahiro Ishikawa + 1
0 0
NameTaken
NameTaken

Tell you what you already know

Charles Weng Anthony Luong Janice Hsu Jeffrey Dinh
4 0
AdSniper
AdSniper

We bring targeted advertisement to the next level with finding patterns in mobile application usage

Hassen Chaieb Anna Kwa Thomas Hinkle Maxime Lasserre
1 0
Geographically Aware Knowledge Mining on Mobile Data
Geographically Aware Knowledge Mining on Mobile Data

People from specific area favor specific app's; varying mobile usage in time peroids shows stories

Shu Kong kaining yang Jasmine Mou @mlysin
4 1
App Recommendation Based on Location & User Habits
App Recommendation Based on Location & User Habits

We analyze and predict what apps users need based on their location and previous app using habits.

siwei chen Yujie He Xiaoxia Shi Tian Chen
0 0
Predictive Model for App Runtimes vs Connect Types
Predictive Model for App Runtimes vs Connect Types

Develop a predictive model to predict users' app runtimes versus connection types, to help people and grow profits

Lalit Patel
0 0
project projects
project projects

todo

John Ko Sophia Chan ellie kuang fred rezine + 1
0 0
Black Friday Insights
Black Friday Insights

Black Friday Insights develops a marketing tool specialized for advertisers and black Friday retailers.

Heran Patel Rohan Chadha
1 0
Focus Point
Focus Point

location based app usage analysis

brett benner Jacky Wan Hudson Hughes
0 0
Data Smasher Visualization
Data Smasher Visualization

Processing huge set of data and visualizing it by displaying a heat map

Yaroslav Dukal Chad Lou
1 0

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