Heart Disease Classification System
Python · TensorFlow · scikit-learn · NumPy
- Achieved 92% accuracy by developing a Python Machine Learning model for patients with heart disease.
- Improved model performance by 10% by training and testing against pre-existing Machine Learning algorithms.
- Enhanced data insights by identifying and visualizing patient clusters using k-means and nearest neighbor methods.
Simple Scribe Website
Flask · HTML/CSS · JavaScript · Firebase · AssemblyAI
- Created prize-winning Simple Scribe audio-transcription site by developing a Flask app with AssemblyAI API.
- Eliminated website buffering by implementing multi-threading and parallel computing with REST API calls.
- Enhanced user engagement by developing a modern, interactive UI using HTML, CSS, and JavaScript.
Embedded System Media Center
C · Cortex-M
- Implemented responsive input with RTOS threads and GPIO, providing real-time LED feedback on joystick press.
- Integrated joystick input with LCD to deliver seamless real-time feedback and improve control precision.
- Optimized menu navigation via priority scheduling and NVIC interrupts, reducing input latency to 100 ms.