Triple C Project Page

Data Sceince Project

Study at UCSD

Github Repo

Our project delivers various interesting analysis on UCSD students’ study life, including student class satisfaction, departements’ program ranking based courses’ average GPA and workload, study hours and grade tendency, and quarterly differences analysis on selected courses and majors. All analysis are based on all the past UCSD cape review data.

Project Timeline

Project proposal, Finished on data collection week 3 win19

Brainstorm ideas and Start on data analysis week 4 win19

Finished on Data Visualization and analysis Report Draft week 7 win19

Data supplemented and final Analysis Report week 8 win19

Discuss and start working on new component week 6 win19

Demo Day week 10 win19

RateMySelfie

Github Repo

The project aims to build up an algorithm, implementing CNN (Convolutional Neural Network), to rate different selfies and give specific scores in terms of angle, composition, light conditions to “direct” the users to take a good selfie. With the algorithm, we will develop a mobile app for selfie. By comparing the different screenshots the camera gets when the user turning/waving their phone, it can tell the user the perfect angle, distance and even expressions to take a good selfie.

Project Timeline

Project proposal and held the first member meeting week 3 win19

Finish the project plan week 4 win19

Read related papers, research and collect data week 5 win19

Read related papers, research and collect data week 6 win19

Read related papers, research and collect data week 7 win19

Demo day week 10 win19

Little Little Car

Github Repo

Our project conducts analysis on used car prices in the U.S. in order to predict the price of a given car in the future. The features we identify in each car consist of the make, model, the year used, and mileage of a given car. We used BeautifulSoup to fetch 1.9 million used car data from the website car.com and corresponding original MSRP from autotrader.com.