Best Bike Price Prediction System using Streamlit, Python ML Project
Bike Price Prediction System
Overview
The Bike Price Prediction System is a web app made using Python and Streamlit. Users just need to enter some details about a bike, and the app will guess its resale price using a trained machine learning model.It has a simple design and an easy-to-understand backend, which makes it a good project for students, learning, or college submissions.
Project Details
| Project Name | Bike Price Prediction System |
|---|---|
| Language/s Used | Python |
| Framework | Streamlit |
| Type | Web Application with Machine Learning |
| Developer | UPDATEGADH |
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Available Features
- Streamlit-based clean and responsive web interface
- Predicts bike resale price using machine learning models
- Inputs include brand, kilometers driven, year of purchase, and more
- Interactive data visualizations using Plotly, Seaborn, and Matplotlib
- Modular structure (
ml_models.py,data_generator.py,utils.py, etc.) - Utility functions for currency formatting and price range calculation
- Easy to deploy on local or cloud environments
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