Project Link

1. Developed a live neural network visualization tool using TypeScript, allowing real-time interaction with neuron activations through mouse movement and drawing.
2. Implemented forward propagation from scratch, demonstrating a strong understanding of neural network mechanics.
3. Integrated weights trained in Google Colab into a custom backend function, enabling dynamic network building and visualization in the frontend.
4. Enhanced user experience by providing intuitive visual feedback of neuron activations and network behavior.
5. 2D graph label predictor and hand-written digit recognizer.
6. Technologies: Typescript, NextJS, Python, Numpy, Tensorflow, Pandas, Matplotlib