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Full-Stack ML Project

A simple full‑stack app with two features:

  • Codeforces Rank Progress Predictor: fetches a user’s rating history and predicts when they may reach a target rating, plus a timeline chart.
  • House Price Predictor: estimates house price from a few inputs and selected amenities.

Tech stack

  • Server: Python, Flask, scikit‑learn, requests, Flask‑CORS, python‑dotenv
  • Client: React (Vite + TypeScript), Tailwind CSS, axios, chart.js (via react‑chartjs‑2)

Scripts (reference)

  • Server: python app.py
  • Client: npm run dev, npm run build

License

MIT (or your preferred license).

About

Full-Stack ML app predicting Codeforces ranks & house prices. Stack: 🐍 (Flask, scikit-learn) + ⚛️ (React, TS, Tailwind).

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