AI-Powered Signal Equalizer

Description: A web-based audio equalizer for music and biomedical applications (e.g., hearing aid abnormality detection). Allows users to manipulate frequency components and reconstruct signals. Features customized modes to isolate specific musical instruments, animal sounds, or human voices based on characteristics like gender or age.

Key Contributions: Implemented Fourier transform and Spectrogram algorithms entirely from scratch in NumPy, avoiding external libraries. Built synchronized dual cine viewers and spectrograms for real-time input/output comparison. Benchmarked custom DSP against integrated pre-trained AI models.

Tech Stack: Dash, Python , NumPy, PyTorch/TensorFlow, SciPy.