Powerful machine learning library for Node.js – uses Python's scikit-learn under the hood.

🧠 An open-source machine learning application for analyzing software defect reports extracted from bug tracking systems.

Open source Cloud Framework for exposing scalable Machine-Learning-as-a-Service implementation

This Netflix Recommendation System is a web application developed using Node.js and Express. It utilizes a recommendation engine written in Python

Deploying a machine learning model to Heroku.

A distributed ledger-based blockchain implementation of the rates proposed and charged, and the commodity count by hospitals for treatment and consultancy of patients.

Estate AI is a machine learning application that predicts the approximate rent a user would need to pay for their requirement across major metro cities of India. It is built using NextJS 13, TailwindCSS, and TypeScript for the frontend, Scikit Learn for Model Training and and Flask for the backend.

A platform for reading personalized research articles from different platforms.

🐱 An image classification ML project, with an interactive website, and a deployed model

The Verifier DApp is an application that generates and trades verified carbon credits, using blockchain technology, IoT, and AI to process images of trees and analyze environmental data, aiding in the quantification of forest biomass and the generation of carbon credits.

aiplayground 人工智能学习乐园

Web version of Greenient

Machine Learinig Model uses a personalized approach to provide recommendations based on health data entered by users, such as age, weight, height, and lifestyle habits.

Monte Carlo Fantasy Football Draft Simulator Featuring FastAPI, NextUI, and ODMantic

predicting score and recommending using amazon textual reviews

🌟 Signez - Interactive ASL learning with real-time hand sign recognition! 🖐️ Learn and practice ASL alphabet with percentage match, predicted words, scores, and a progress dashboard. Powered by advanced ML and full-stack integration 🚀✨

A movie recommendation system that suggests movies based on user preferences.

Created a prediction model to predict a players points per game (PPG) stat for the upcoming 2024-2025 season based on their PPG from the past 3 seasons (2022-2022, 2022-2023, 2023-2024). Used a Linear Regression model using sklearn to combine a player's data from all three seasons to help predict their PPG in the upcoming 2024-2025 season.