This project is a front-end application that allows users to upload images and run them through a pre-trained deep learning model to detect objects in the image. The application is built using Next.js, a React framework, and Django, a Python web framework.
git clone https://github.com/ItsSpirax/DeepSight
cd DeepSightConfigure environment variables:
cp .env.example .env
nano .envStart the application:
docker compose up -dBelow are Screenshots showcasing the application:
- Homepage Overview: Overview of the application.
- Get Started: Introduction page to guide users on how to use the application.
- Our Vision: Shows the vision of the founders of the application.
- Image Upload: Page where users can upload images, view them, or delete them.
- Available Models: Displays the descriptions of different models available for image processing.
- Process Selection: Select an uploaded image and a model to run the image through.
- Processed Images: Shows all previously processed images.
- User Profile: Page for updating user details and password.
The Docker images for the application can be found on Docker Hub:
This project is licensed under the MIT License - see the LICENSE.md file for details.