BioTrack LIMS

Health Disease Prediction is a privacy-first clinical decision support system developed for a Pune-based pharmaceutical organization. The software helps predict and triage multiple disease risks to support early diagnosis and preventive care. Because of client privacy and policy, the organization's name is withheld.

"Predict. Prevent. Protect Your Health."

Key Highlights

• Multi-disease predictive models: Diabetes, Heart Disease, Parkinson's, Stroke, Hypertension, Obesity, Alzheimer’s, Cancer, and more.
• Explainable ML: model outputs include feature importance and human-readable risk factors.
• Secure data handling with privacy-by-design: anonymization, role-based access, and audit logs.
• Clinical dashboards for physicians and lab managers with risk scores, trends, and cohort analytics.
• Integration-ready APIs for EHR / LIMS systems and exportable reports for regulatory needs.
• Alerts & preventive suggestions: automated notifications for high-risk cases and patient follow-ups.
• Production-ready deployment using containerization (Docker) and scalable cloud infrastructure.

Featured Topics & Focus Areas

HealthAwareness · Wellness · Prevention · HealthyLifestyle · MentalClarity · DiabetesManagement · CardiovascularHealth · BrainHealthTips · CancerPrevention · Rehabilitation · ClinicalTrials · EarlyIntervention · HealthcareTechnology · ChronicDiseaseManagement · MedicalInnovation

Tech Stack

Python, scikit-learn, TensorFlow/Keras, Pandas, Flask/Django (API), PostgreSQL/MySQL, Docker, Redis (caching), Celery (background tasks), JWT-based auth, and basic frontend dashboards built with React / Bootstrap.

Privacy note: Client identity and any patient-level data are confidential and protected by agreement. This project summary focuses on high-level capabilities and outcomes only.