CuroGen is a state-of-the-art AI-powered platform designed to help you better understand your health by analyzing your symptoms and providing potential diagnoses.
🚀 What We Built During the Hackathon During the hackathon, we successfully built an AI-powered health assistant capable of: Understanding user-inputted symptoms via a ChatGPT-like interface Predicting possible diseases using frontend or backend-based AI models Offering basic health advice or recommendations to consult professionals Providing wellness suggestions based on lifestyle inputs like age, habits, etc. 🔧 Technologies Used Frontend: HTML, CSS, JavaScript (with animations and typing effects) AI Models: Transformers.js (for frontend AI) / Python (Flask) for backend logic UX/UI: Smooth animations, flip cards, and dynamic pages to improve engagement 💡 Key Features Implemented AI chatbot that interacts naturally with users Risk assessment tool that calculates health risk based on 7 lifestyle factors Dynamic disease detection with over 100+ symptom-disease combinations Flip animations, typing cursor effects, and slow transitions for a modern UI 🎯 Challenges We Overcame Building a large AI system entirely in the frontend Making the interface lightweight while handling large symptom datasets Ensuring AI responses are accurate, short, and user-friendly 🌱 What We Learned Deepened our understanding of AI integration into healthcare solutions Learned how to balance performance with interactivity Gained hands-on experience working with large-scale symptom mapping 🎉 Final Outcome We built a fully functional, visually engaging AI health assistant that can serve as an initial step for individuals to understand potential health issues, promoting awareness and encouraging early medical consultation.
Currently, this project is in its early development stage and has not received any external funding. However, we strongly believe in its potential to create meaningful impact in the healthcare domain, especially in early diagnosis and health awareness. We are actively exploring opportunities to: Apply for grants and innovation challenges focused on digital health Connect with healthcare incubators and early-stage investors Collaborate with NGOs or health-tech partners to scale the solution for underserved communities With further support, we aim to: Enhance AI accuracy with medical datasets Integrate with real-time health APIs and databases Expand platform accessibility across mobile and regional languages We are open to partnerships, mentorship, and funding opportunities to help take this impactful idea to the next level.