a Small Language Model (SLM) that answers questions based on a provided book or text. It uses semantic search (FAISS) to retrieve relevant content and DistilBERT (Hugging Face) to generate precise answers. Built with Python, the system achieves 75% Exact Match accuracy and is designed for efficient, scalable question answering. Perfect for extracting insights from large texts!

A Python tool to detect reflected XSS vulnerabilities through web crawling, payload testing, and result analysis.

A robust cafe management software

The project is a dynamic web application for managing cafes using an SQLite database. It allows users to view, add, and delete cafes via a user-friendly interface built with Flask and HTML/CSS and also use of RESTapi.