hritikbharucha Goto Github PK

arbinoculars

arbinoculars2

High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

cse-110-lab-1

cse110_lab2_starter

custom_porechop_abi

Adapter trimmer for Oxford Nanopore reads using ab initio method

health-and-population-analysis

Employed Python libraries including NumPy, Pandas, and Matplotlib to create a linear regression model that predicts future population trends with 87% accuracy. Conducted a graphical analysis of population and health trends in each country to identify relationships and trends.

improved-limo

generative model for drug discovery

lab5_starter

lab7-starter

lab8-starter

lab9_starter

liquid-intake-app

Tracker for liquid intake with calories based on ounces. Used JavaFX for the frontend.

liquid-intake-web-app

Final Project for CISC191

quest-fi

Incorporated gamification techniques to incentivize users to complete tasks and earn points and built the app independently to grasp the entire process of app-development in Swift and to challenge programming knowledge.

sp24-cse110-lab3

sp24-cse110-lab4

stock-sentiment-predictor

Developed a Sequential LSTM machine learning model in Python using TensorFlow/Keras to predict stock prices and included stock sentiment as a feature by scraping YouTube API data and using NLTK to perform sentiment analysis on each comment.

waste-and-energy-analyzer

Developed an interactive program using Java and JavaFx to educate the youth about waste management and energy usage.