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pythonanywhere-servers

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This Flask app predicts house prices using a RandomForestRegressor model trained on a housing dataset. It includes data pre-processing with pipelines and imputers, stratified train-test splitting, and a user input form. Predictions are displayed on the web page, making it ideal for learning basic machine learning deployment with Flask.

  • Updated Aug 30, 2024
  • Python

A full-stack route planning and fuel optimization application built with React + Vite on the frontend and Django REST Framework on the backend. The application helps commercial drivers plan trips by calculating routes and generating optimized fuel stop recommendations while considering vehicle constraints such as fuel efficiency and driving range.

  • Updated Jul 28, 2026
  • Python

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