I’m a Computer Science student who enjoys building practical AI systems using Python, Machine Learning, and Generative AI. I like turning ideas into real projects, from training models to deploying them as usable applications. Currently, I’m exploring LLMs, AI agents, and scalable backend design while continuously improving my problem-solving skills.
An AI-powered application that converts long YouTube videos into concise, structured summaries using LLMs. Built with a multi-agent architecture for transcript extraction and summarization, with smart caching for faster responses and reduced API usage.
Tech: Python, LangChain, LLMs, Streamlit
🔗 https://github.com/divyanshi2929/QuickTube-AI
A machine learning–based web application that predicts suitable career paths based on a user’s skills and interests. The project covers the complete ML lifecycle, from data preprocessing and model training to serving predictions through a Flask API.
Tech: Python, Machine Learning, Flask
🔗 https://github.com/divyanshi2929/CareerPath-project