DevSahu1/vocalneuro-parkinsons-ai

🧠 VocalNeuro AI: Deep Learning for Parkinson's Detection

VocalNeuro AI is a diagnostic support framework that utilizes Deep Learning to analyze neurological biomarkers. The system processes multi-modal data, including acoustic voice profiles and motor assessment scores, to infer the likelihood of Parkinson's Disease indicators.

🚀 Project Overview

This application serves as a clinical dashboard where healthcare professionals can input patient biomarkers to generate an AI-driven risk assessment.

Key Features:

• —Multi-Modal Analysis: Combines vocal features (Jitter, Shimmer, Pitch) with motor scores (UPDRS, Tremor, Bradykinesia).
• —Deep Learning Engine: Powered by a Neural Network trained on clinical datasets.
• —Real-time Inference: Immediate probability scoring and risk classification.
• —Professional UI: A dark-themed, high-contrast dashboard built for clinical readability.

🛠️ Technical Stack

• —Framework: Streamlit (Frontend & Deployment)
• —Machine Learning: Keras, TensorFlow (Deep Learning Architecture)
• —Data Processing: Scikit-Learn (Robust Scaling), Pandas, NumPy
• —Deployment: Hugging Face Spaces (CI/CD via Git LFS)

📊 Biomarkers Analyzed

⚠️ Disclaimer

This tool is intended for research and educational purposes only. It is not a substitute for professional medical diagnosis, advice, or treatment. Always seek the guidance of a physician or qualified health provider with any questions regarding a medical condition.

👤 Author

Dev Sahu LinkedIn | GitHub