Swasth Sarthi

Project Description — Swasth Sarthi: Health’s Guide with AI

Swasth Sarthi is an AI-powered holistic healthcare platform designed to empower individuals and families to take charge of their physical, emotional, and preventive health.
It serves as a digital health companion — combining personalized tracking, pregnancy care support, instant medical access, and live health analytics in one seamless interface.

💡 Key Features and Functionalities

1. BabyCare Assistant:

   • Upload pregnancy checkup reports (PDF format).

   • Uses AI + OCR (pdf.js, Tesseract.js) to extract data and generate personalized insights like baby’s growth stage, week of pregnancy, nutrition tips, and safe activities.

   • Interactive mood selector and symptom-based recommendations.

2. InstantCall (Emergency Doctor Connect):

   • Enables users to connect with a certified doctor within 60 seconds via live video call using WebRTC technology.

   • Designed for accidents and medical emergencies where immediate pre-treatment guidance can save lives.

3. Live Health Report Analysis:

   • AI analyzes chat records and report data to detect health trends, generate wellness scores, and provide visualized analytics using Chart.js.

   • Offers users data-driven insights into their physical and emotional well-being.

4. To-Do Health Tracker:

   • Daily task list for physical exercises, medication reminders, hydration tracking, and wellness habits.

   • Helps users build healthy routines through consistent engagement.

5. AI Chat Assistant:

   • Integrated medical chatbot powered by OpenAI’s GPT-based API, enabling natural, conversational health queries and guidance.

⚙️ Technologies Used

• Frontend: HTML5, CSS3, JavaScript, Font Awesome

• AI & NLP: OpenAI GPT-4o model for intelligent report analysis and conversation

• Document Processing: pdf.js, Tesseract.js for extracting data from medical reports

• Data Visualization: Chart.js for generating wellness graphs and analysis charts

• Backend (recommended): Node.js or Django for APIs, authentication, and data management

• Video Communication: WebRTC for real-time video calling between user and doctor

• Deployment: Render / Vercel for hosting frontend and backend services

🧠 Data Sources

• Pregnancy checkup reports (PDF format) uploaded by users

• User-generated chat history and symptom data

• AI-generated insights and recommendations (via OpenAI API)

📊 Findings & Learnings

• AI can simplify healthcare interpretation: Automated PDF analysis reduces dependency on manual medical interpretation.

• User experience matters in health apps: A clean, emotional, and responsive design builds trust and engagement.

• Integrating AI + WebRTC + OCR technologies creates a powerful hybrid system for real-time preventive healthcare.

• Challenges faced: API key restrictions (CORS), integrating live video systems, and managing sensitive data securely.

• Key learning: Combining empathy-driven design with AI-driven functionality results in meaningful digital health experiences.