#Repo for Hackathon
Healthcare+: An AI-Powered Health Companion
Healthcare+ is a multimodal AI-driven health ecosystem that unifies fitness, nutrition, mental health, and medical care into a single intelligent platform. It enables proactive, data-driven health management through predictive analytics, computer vision, natural language processing, and generative AI.
- Disease Prediction — Input symptoms to get AI-generated diagnostic insights.
- Calorie Tracker — Upload food images to estimate calories, proteins, carbs, and nutrients using CNN-based image captioning.
- AI Fitness Coach — Generates personalized workout and diet plans using Gemini Generative AI and adapts to user progress.
- Nearby Clinics — Locates and maps the nearest clinics related to predicted conditions.
- Mental Health Assessment — Uses PHQ-based evaluation models to analyze emotional well-being.
- Menstrual Cycle Tracker — Predicts and tracks menstrual cycles with precision.
- Medicine Tracker — Logs prescribed medications, dosage, and reminders for timely adherence.
Modern healthcare is fragmented users juggle multiple apps for fitness, diet, and medical tracking. Healthcare+ was inspired by the need for a unified, intelligent ecosystem that promotes proactive care instead of reactive treatment. Our vision was to build an AI-powered companion that predicts, guides, and supports users toward holistic well-being.
Healthcare+ integrates multiple AI models and backend services into a cohesive architecture.
AI Components:
- Disease prediction model using supervised learning.
- CNN-based food image captioning model.
- Gemini Generative AI for personalized fitness and diet planning.
- PHQ-based statistical models for mental health and menstrual analysis.
- Geolocation and routing APIs for clinic detection.
- Modular architecture to integrate diverse AI services without heavy coupling.
- RESTful APIs for seamless communication between frontend and backend.
- Scalable MongoDB schema for health records and user progress tracking.
- AI models deployed for image recognition, prediction, and natural language reasoning.
- Efficiently integrating multimodal AI models with low latency.
- Ensuring reliable health predictions with limited labeled data.
- Maintaining synchronization across fitness, nutrition, and health modules.
- Designing an accessible, intuitive interface for all user types.
- Managing privacy, data security, and API limitations.
- Developed a fully functional prototype of a unified, AI-powered healthcare system.
- Combined computer vision, NLP, and generative AI in a single platform.
- Created adaptive and personalized fitness and nutrition engines.
- Built a scalable foundation for future real-time health monitoring.
- Building multimodal AI pipelines handling text, images, and structured data.
- Using generative AI for contextual, health-specific recommendations.
- Ensuring data privacy and compliance within healthcare applications.
- Designing modular systems for scalability and long-term maintainability.
- Speech-to-text capabilities for hands-free operation.
- Integration with wearable devices for real-time vitals monitoring.
- Emotionally aware conversational AI for better mental health support.
- Advanced privacy mechanisms and secure user authentication.
- Agentic AI to provide proactive, context-based recommendations and reminders.
- Node.js (v18 or above)
- MongoDB (local or Atlas)
- API keys for AI and Geolocation services (e.g., Gemini, Google Maps)
# Clone the repository
git clone https://github.com/your-username/Healthcare-Plus.git
cd Healthcare-Plus
# Install dependencies
npm install
# Set up environment variables
cp .env.example .env
# Run the development server
npm run devAccess the app at https://healthcareplus-2b3e.vercel.app/
Healthcare+ represents the future of intelligent, personalized, and proactive healthcare — unifying technology and wellness in one adaptive ecosystem.