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metadata
title: Nigerian Used Car Price Predictor
emoji: π
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
- π Predict car prices based on multiple attributes
- π€ Uses advanced sentence embeddings for car name processing
- β‘ Fast predictions with LightGBM model
- π¨ Modern, responsive UI with dynamic backgrounds
- π° Prices displayed in Nigerian Naira (β¦)
How to Use
- Enter the car name/model (e.g., "Toyota Camry 2015")
- Select the origin (Local/Foreign)
- Choose transmission type
- Select fuel type
- Pick interior and exterior colors
- 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