Machine Learning and Data Analysis in JavaScript.

Typescript client for working with Chalk

Now developers can deploy experimental features on Fridays too! ✨

GitHub Action that wraps the Chalk CLI

🛠️ Optimize your prompts to enhance AI agent performance with real-time feedback and tailored solutions in an easy-to-use web interface.

Automatically sleeps inactive browser tabs after 5 minutes to save memory and boost performance. Lightweight, silent, and hassle-free

Developed during final round of Fin-A-Thon at IIT Delhi. Developed a ML model for a recommendation system to direct users to features based on their past clicks and interactions with the app.– Provided personalized loan and financial plan recommendations to users based on their financial behavior and preferences.

A Feature Demo for Netflix made with React.js

Create an advanced robot control interface with extreme color design and comprehensive training/activation features. This will be a futuristic, cyberpunk-style robot management system.

F1 Race Predictor and Explainable Agent

This will be a production-ready robot management interface with a futuristic design.

This is a test project where I have built Mini Spotify using Cursor. Guided by NextWork.org

🧠 Build and experiment with a lightweight neural network library in TypeScript, featuring simple tensors and essential machine learning utilities.