Developed a Dynamic Backend Generator using Django and Python, featuring personalized user database tables and fields. ** 

Created a Google Apps Script that utilizes Google Sheets as a database. **

Designed an App Generator that implements single-page UIs through natural language interaction with a chatbot. The system uses AI to generate a high-level tree-like description of the UI, which is then used by the engine to create the screen. **

Implemented real-time communication features using WebRTC, WebSockets, and Django Channels.

Developed a JSON-based backend system with functionality similar to MongoDB.

Built the backend for IIT Mandi's IHUB Health Report app.

Created a Python application for semantically searching code in GitHub repositories of Python-based projects.

Deployed compute-intensive applications on large EC2 instances, such as g4dn.xlarge.

Implemented machine learning models from scratch, including:

• Diabetes prediction using K-Nearest Neighbors (KNN) **

Chronic Disease Prediction using Word2Vec and Similarity Scores **

Developed an application that recognizes individuals in photos and sends the images to them via email. **

Created a chatbot to respond to text queries related to various acts, rules, and regulations applicable to the mining industry. **

Designed a dew computing-based software for local data storage with AWS S3 synchronization capabilities. **

Implemented Deep Artificial Neural Networks from scratch using only NumPy. **

And much more, around 15 to 20 tools/projects/scripts more.