AI-Powered Web App for House Price Prediction
where I built a complete end-to-end AI web application that predicts house prices based on property characteristics such as number of rooms, pollution index, land ratio, and more.The project involved building and training a machine learning model using Scikit-learn, designing a clean front-end with Streamlit, and deploying it online using Cloudflare Tunnel directly from Google Colab — no external server required.
️ Tech Stack:
Python | Scikit-learn | Streamlit | Google Colab | Cloudflare
This wasn't just a technical build — it was a learning journey in transforming ML models into real, usable products with web integration.