Animal Prediction System Using Python & Django – Final Year Paid Project
Animal Prediction System
The Animal Prediction System is a smart web application that uses machine learning to recognize animal species from uploaded images. Built with Python and the Django framework, it’s a great project for students, developers, or anyone curious about applying AI in real-world scenarios.Users can easily upload a photo of an animal, and the system will automatically predict its species using a pre-trained deep learning model. It’s a fun and educational tool that shows how computer vision works in action.
Overview
This project allows the user to upload an animal photo, which is then processed by a machine learning model trained on a dataset of various animal species. The model returns the predicted animal name along with its confidence score. The entire solution is packaged in a Django-based interface, making it simple and effective for web deployment and integration.
Project Details
| Project Name | Animal Prediction System |
|---|---|
| Language/s Used | Python, HTML, CSS |
| Framework | Django |
| Machine Learning | TensorFlow (Keras model) |
| Database | SQLite |
| Type | Web Application |
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Available Features
- Upload animal images from your local system
- Predict the animal species using a trained model
- Display prediction result with confidence percentage
- User-friendly and minimal web interface
- Lightweight and fast response system
- SQLite database integration for Django session and settings
How to Use
- Open the web application.
- Click on the Upload button and select an animal photo.
- Press the Predict button.
- View the predicted animal name and confidence score.
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