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Doctor Dok is an AI based medical data framework and patient's med vault. Parse any health related PDF/Image to JSON and then use Chat GPT / LLama to discuss it! WARNING: Don't decide on your health based on AI Chat - it's just for Research purposes.
MCP server for the ClinicalTrials.gov v2 API. Allow LLMs to search trials, retrieve study details, compare studies, analyze trends, and match patients to eligible trials.
🩸 Donor Sync – A web-based platform that directly connects blood donors with hospitals, and links hospitals to patients and NGOs, enabling faster, more efficient blood donation. Originally built as a prototype for the GDSC Solution Challenge 2025, addressing the problem of limited healthcare access in underserved communities. 🛠
Cross-platform mobile app that detects facial skin type and conditions using AI. Recommends skincare products based on skin profile and allergies. React Native frontend, Flask backend, MongoDB database, OpenCV face detection, and CNN-based diagnosis. Includes lifestyle and product suggestions.
Analyze food instanly using your personal AI quota with zero cost. Includes detailed macro/micro breakdowns, 3D organ risk mapping, medical record storage, and an encrypted profile system.
Medicano: A versatile medical application aimed at delivering comprehensive information about medications. It provides users with detailed insights into drug uses, pricing, alternatives, and availability. Key features include a powerful search function, personalized recommendations, a symptom checker, and integration with health articles and news.
A personalized diet plan recommendation system is proposed that uses a knowledge base and rules to infer a user's dietary requirements and suggest an appropriate meal plan. This is web application created by using React Node js Python and Prolog
A resilient, fault‑tolerant telemetry analytics pipeline designed to validate, benchmark, and stress‑test high‑frequency sensor data streams under real‑world failure conditions. Includes chaos testing, DLQ repair, GPU‑accelerated ingestion, and end‑to‑end reliability validation for motorsport‑grade telemetry environments.
A smart IoT heart‐rate and SpO₂ monitoring system built on ESP8266 + MAX30100 with live Blynk dashboard and Python ML modules for anomaly detection.(Built in 2022-23)