chouy15/laptop-price-prediction-

A machine learning model that predicts prices in the Algerian market using real local market data. Here’s a clean, solid **README.md** you can drop straight into your repo. It’s clear, recruiter-friendly, and fits a **Next.js + FastAPI** setup with `frontend/` and `backend/` folders. --- # Algerian Market Price Prediction A machine learning–based price prediction system built using real data from the Algerian market. The project combines a **Next.js frontend** with a **FastAPI backend** to serve predictions through a clean web interface. ## Project Structure ``` . ├── frontend/ # Next.js application (UI) ├── backend/ # FastAPI backend (API + ML model) └── README.md ``` ## Tech Stack ### Frontend * **Next.js** * React ### Backend * **FastAPI** * Python * Machine Learning model (for price prediction) * Uvicorn (ASGI server) ## Features * Predict prices based on Algerian market data * REST API for model inference * Modern web interface built with Next.js * Clear separation between frontend and backend ## Getting Started ### Backend (FastAPI) ```bash cd backend python -m venv venv source venv/bin/activate # Linux/macOS # venv\Scripts\activate # Windows pip install -r requirements.txt uvicorn main:app --reload ``` Backend will run at: ``` 127.0.0.1 ``` ### Frontend (Next.js) ```bash cd frontend npm install npm run dev ``` Frontend will run at: ``` localhost ``` ## API Documentation Once the backend is running, you can access the interactive API docs: ``` 127.0.0.1 ``` ## Deployment (Vercel + Render) This project is easiest to deploy as two services: - **Backend** (FastAPI) on **Render** - **Frontend** (Next.js) on **Vercel** ### 1) Deploy the backend to Render Option A (recommended): use the Blueprint in render.yaml. 1. Push this repo to GitHub. 2. In Render: **New** → **Blueprint** → select your repo. 3. Render will create a web service for the backend (`rootDir: backend`). 4. After it deploys, open the backend URL and confirm: - `https:// .onrender.com/` returns a JSON message - `https:/ …