89RIDDHI

just asmple funtime project

i built to do , i learned how to use list in python , for store tasks in it and perform crud operation into it

A CLI tool that fetches and displays a GitHub user’s recent public activity. It queries the GitHub API for a username and prints a formatted list of their recent actions (pushes, stars, pull requests, etc.). I learned about API integration, error handling, and JSON processing in Python

This personal semantic search engine allows you to upload PDFs, markdown files, and notes and then search them by meaning instead of exact keywords. It does this by chunking your documents, generating vector embeddings with a transformer model, storing these in Chroma, and exposing FastAPI endpoints that a React frontend calls for upload and search. When you query, the backend embeds your question, finds the most similar chunks in the vector store, and re-ranks them using recency and metadata before returning results. Building it required integrating multiple pieces: file handling, text extraction, embeddings, a vector database, an HTTP API, and a modern frontend UI. In this project, you learned how vector-based semantic search pipelines are designed from end to end, how small details in chunking and embeddings affect relevance, and how to deploy a full-stack AI-powered app.

i made a flask based web-calc

the index.html from templates takes the input form users and the main.py works as a backend and computes the input values and return it to the frontend part to display

i learned to use flask templates with flaskapp and how to use tailwind css cdn link