parkinsons

A local-first Flutter research notebook for meals, medication context, and evidence-oriented explanations. Educational prototype with synthetic demos.

Deep Learning Models for the Early Detection of Parkinson’s Disease using the motor-based symptoms.

Detection of Degree of Parkinsonism via the Spiral Test

Python library for real-time neural data classification with Deep Learning

Analytics done on clinical healthcare parkinsons analytics

Parkinson's Progression Marker Initiative data science challenge, 2016

The project strives to predict the risk of Parkinson's Disease progression in the patient based on the evaluation of baseline motor and non-motor symptoms of the patients via machine learning approach.

Built a Parkinson's Disease Detection tool using SVM

A serverless data pipeline bridging paper-based caregiver logs and cloud analytics for Parkinson's care. AWS Lambda, IoT and weather context, with an HL7 FHIR R4 export path.

Simple self measurement of parkinsons symptoms

ML model for early Parkinson's disease detection from voice and handwriting.

A simple Flask API for predicting whether a person could be a Parkinson's patient or not based on some basic drawings of random shapes drawn by them.

React Native Parkinson's tremor monitoring app with BLE, SQLite, Firebase, ESP32-S3 integration, and clinical data export.

Adaptive deep learning models for Parkinson’s diagnosis using smartwatch sensor data (PADS Dataset)

Deep learning pipeline for Parkinson’s disease severity prediction from voice recordings — includes YAML-configurable training, SLURM/cluster support, and extensible model architectures.

MultiAgent-Based Model (MABM) designed to simulate Parkinson's disease using Repast Simphony.

HopeGait — real-time freezing-of-gait detection from wearable IMU data. Causal TCN quantised to int8 for on-device cueing. Student research, not a medical device.

P.I.L.L.A.R.S: AIoT homecare for Parkinson's. A wristband that flags falls and freezes, a home hub that dispenses the right pills, a caregiver app. First Runner-Up, FPT IoT Challenge 2026. Showcase of how it works; source private.