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Malolan Vasu's Projects

course-graph icon course-graph

CS 203 Semester Project: A C Program that handles a course database. Given information about the various degrees offered in different departments of a college/university, and information about courses and their requirements, the program can keep track of different individuals' progress towards their degree and display the relevant courses they would need to take to complete their degrees.

covid19_tweets_dataset icon covid19_tweets_dataset

I worked on this project from Mar 2020 - Jun 2020. The repository is a dataset of tweets related to COVID-19. My work involved managing this dataset, and also implementing a SOTA Sentiment Analysis model (BB_twtr) to generate sentiment information about each tweet.

game-ai icon game-ai

Contains the code used to create AIs in Python that can solve sudoku (Project 4), play the 8-puzzle game (Project 1), and the 2048 game (Project 2) with strict time limits.

lafayette53 icon lafayette53

CS 205 Semester Project: Worked in a 4-person team to develop a museum management system on an AngularJS, C++ REST SDK, & MySQL stack. The museum management system is a 'Wiki of Museums'. Multiple museum curators can host museums, users can suggest changes to the museums. Changes are implemented on approval from the curator.

receipt-printer icon receipt-printer

Google scripts app to generate, print, and email receipts from a spreadsheet. Given a receipt template and a sheet of donor information, the program iterates through the list of donors and emails them a receipt.

scoreboard icon scoreboard

A flexible Scoreboard web app for Quizzes. It comes with a self-updating front-end view (simple jQuery) as well as a back-end manager view (Django). The app is live on heroku.

vehicle-counter icon vehicle-counter

Vehicle Counting model that automatically detects the Region of Interest and Driving Trajectory. Uses YOLOv4 for object detection, DeepSORT for object tracking, k-means for clustering different tracks, and a final algorithm to generate the representative paths for each cluster. Under review LXAI Workshop at ICML 2021.

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