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title: Nigerian Used Car Price Predictor
emoji: πŸš—
colorFrom: blue
colorTo: green
sdk: docker
app_port: 7860
pinned: false

Nigerian Used Car Price Predictor

A machine learning web application that predicts used car prices in Nigeria using LightGBM and sentence embeddings.

Features

  • πŸš— Predict car prices based on multiple attributes
  • πŸ€– Uses advanced sentence embeddings for car name processing
  • ⚑ Fast predictions with LightGBM model
  • 🎨 Modern, responsive UI with dynamic backgrounds
  • πŸ’° Prices displayed in Nigerian Naira (₦)

How to Use

  1. Enter the car name/model (e.g., "Toyota Camry 2015")
  2. Select the origin (Local/Foreign)
  3. Choose transmission type
  4. Select fuel type
  5. Pick interior and exterior colors
  6. Click "Predict Price" to get instant estimate

Tech Stack

  • Backend: Flask + Gunicorn
  • ML Model: LightGBM
  • Embeddings: Sentence Transformers (all-mpnet-base-v2)
  • Frontend: HTML, CSS, JavaScript
  • Deployment: Docker

Model Details

The model uses:

  • 10 sentence embedding dimensions from car names
  • 2 categorical features (origin and color combinations)
  • Trained on Nigerian used car market data