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"pytest for AI agents." Open-source testing framework. Define what your agent should do. Run it. Get pass/fail results with AI diagnosis. Tests whether your agent behaves correctly across runs
AI-powered plant health diagnostic app with image analysis, weather, soil data integration. Multi-language support, real-time monitoring. Built with React, TypeScript, Vite.
Flórea: AI-powered garden management app built with Flutter. Features Gemini plant diagnosis, smart care scheduling, weather-based advice, nearby nurseries/pharmacies discovery, personalized recommendations, and FCM notifications. Final Year Project (June 2026).
MCP server exposing the Psychopathia Machinalis diagnostic framework (79 conditions, 11 tools) so AI systems can diagnose dysfunctions in themselves or others. PyPI: psychopathia-mcp.
[MICCAI 2023] Official implementation of "Evidence-Driven Differential Diagnosis of Malignant Melanoma" presented at ISIC. A multi-level transformer framework that integrates contextual information and evidence at the lesion, patient, and population levels, enabling decision-making at each level.
A secure personal medical repository and health intelligence platform featuring AI-driven OCR document extraction, a RAG medical chatbot, and voice-guided AI symptom assessment.
AI-driven mobile application for accurate classification of eye diseases from retinal images. Built with deep learning (ResNet50) and deployed using Flutter and Hugging Face for real-time predictions.