RentWise is ideal for students, professionals, and real estate enthusiasts searching for rentals in Jaipur. Users can input property details like location, size, and BHK to receive accurate rent estimates. It also aids real estate agents in evaluating property value and pricing trends.
RentWise is a rental price prediction tool that combines live web scraping from 99acres.com with machine learning. Using BeautifulSoup, it extracts BHK, area, rent, location, and furnishing status. This data is cleaned and used to train a regression model, served via a responsive Flask web interface and deployed on Render.
Efficient scraping with structured selectors and pagination. Applied feature scaling and data cleaning. Model trained using linear regression for accurate and fast rent predictions.
Used modular design with separate scripts for scraping, cleaning, modeling, and serving. Added comments, handled exceptions, and maintained Git version control for team collaboration and scalability.
RentWise bridges real estate data with ML-driven insights, helping users make informed rental decisions. It showcases my ability to build a full-stack, real-world data-driven project from scratch.