Vision Saver is a web application built using Django and Bootstrap, designed to predict eye diseases using a deep learning model trained with TensorFlow. The model boasts an accuracy of 90% in identifying various eye conditions. The application is hosted on Azure for seamless accessibility.
Vision Saver aims to revolutionize the early detection of eye diseases by providing a user-friendly platform for predicting various conditions. Leveraging the power of deep learning, Vision Saver offers accurate predictions, aiding in timely diagnosis and treatment.
- Backend Framework: Django
- Frontend Framework: Bootstrap
- Deep Learning Framework: TensorFlow
- Hosting: Azure
- User-friendly Interface: Intuitive design for easy navigation.
- Eye Disease Prediction: Utilizes a powerful deep learning model to predict various eye diseases.
- High Accuracy: The TensorFlow model achieves an impressive accuracy of 90%.
- Accessible: Hosted on Azure, ensuring availability and accessibility from anywhere.
To run Vision Saver locally, follow these steps:
- Clone this repository:
git clone https://github.com/yourusername/vision-saver.git - Install dependencies:
pip install -r requirements.txt - Run the Django server:
python manage.py runserver
- Navigate to the application URL.
- Upload an image of the eye to be analyzed.
- Click on the "Predict" button to initiate the prediction process.
- View the predicted eye disease along with the confidence score.
The Vision Saver application is deployed on Azure for seamless access. You can access the live application at Vision Saver.
- Deep Learning Model: Developed using TensorFlow.
- Web Development: Built with Django and Bootstrap.
- Hosting: Deployed on Azure.
This project is licensed under the MIT License.