The Open-Source Multi-Modal Medical AI Assistant is a privacy-first digital health platform that leverages state-of-the-art technologies such as the Groq API, LLaMA-based large language models, Whisper speech-to-text, and computer vision models like EfficientNet and ResNet. It allows users to interact through text, voice, or images to receive preliminary medical information, triage guidance, and skin condition screening. Trained on medical datasets the assistant is designed to be accessible, accurate, and transparent—empowering individuals with reliable health insights while maintaining strict privacy standards. This project aims to bridge gaps in healthcare access, especially in underserved communities.
8 Jul 2025
Our project is an AI-driven mini learning path tool designed to guide users through a personalized educational journey. By allowing users to input a topic of interest, the tool generates a structured, step-by-step learning plan tailored to their goals, current knowledge level, and pace. It curates the most relevant resources—videos, articles, courses—and organizes them into a coherent path, ensuring that users stay on track and make consistent progress. Whether you're a beginner diving into a new subject or someone looking to deepen your expertise, our platform adapts to your learning style and helps you grow efficiently and confidently.
1 May 2025
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