NexGen

Inspiration

Develop an advanced face recognition attendance system incorporating liveness detection

What it does

The face recognition attendance system accurately distinguishes between real and fake faces using advanced technology.

How we built it

I built it using Django for the backend, HTML/CSS for the frontend, and trained the model using Google Colab for efficient processing and model development.

Challenges we ran into

Some challenges we encountered during development included integrating the face recognition model with Django, ensuring compatibility between frontend and backend components, and optimizing the model training process on Google Colab for efficient performance.

Accomplishments that we're proud of

We're proud to have trained our own model using over 7000 images, which allowed us to customize and fine-tune the model specifically for our application, resulting in improved accuracy and performance.

What we learned

Through this project, we learned valuable skills in model training, Django development, frontend design with HTML/CSS, and integrating different components into a cohesive system. We also gained insights into the challenges and best practices associated with building a face recognition attendance system.

What's next for NexGen

Next for NexGen, we plan to enhance our face recognition attendance system with real-time monitoring, biometric authentication, and scalability optimizations.