HealthTrack Pro

HealthTrack Pro is a cutting-edge AI web application designed to empower individuals on their health journey.

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Inspiration

The Inspiration of this project comes from the hardworking individuals who huslte hard in their lifes and also takes care of their health, but require a sophisticated all in one HealthCare application to make their lives easier.

What it does

HealthTrackPro is a holistic health and wellness application that helps users track their daily habits, analyze their nutritional intake, and receive personalized AI health suggestions. The app empowers individuals to take control of their health through data-driven insights and AI-powered recommendations. Key features of my application includes:

  • Habit Tracking: Track daily habits like water intake, exercise, and yoga.
  • Nutritional Analysis: Analyze nutrient breakdown from food inputs.
  • Symptom and Health Issue Input and Analysis: Input common health issues (e.g., headaches, knee pain) to receive nutritional and wellness recommendations from AI
  • AI-Powered Recommendations and Chatbot Facility: Get personalized suggestions for improving health based on habits, nutrition, and symptoms.User can ask questions about their health progress also.

How we built it

Frontend: The user interface was developed using HTML, CSS, JavaScript, Bootstrap, and Chart.js for dynamic data visualization.

  • Backend: Node.js and Express.js handle user authentication, data processing, and API communication.Used Pdfkit for Health Report Generation.
  • Database: MongoDB, hosted on AWS, securely stores user health data.
  • AI Integration:
    • AWS Bedrock Model for Accessing the AI foundation models to integreate to my website
  • Serverless Architecture: We utilized AWS Lambda for processing tasks such as data handling, analysis, integreating the AI model in the Bedrock and generating personalized recommendations.
  • Cloud Hosting: The entire application and database are hosted on AWS for scalability, security, and performance.

Challenges we ran into

The main challenge was to integreate the AI model in my application. Keeping in mind various factors such as the cost that the model would accuire, selection of best and relevent model, integration of aws lambda, api gateway, bedrock services, langchain was really a big task.

Accomplishments that we're proud of

A Proud moment happend when I successfully integrated Cohere AI foundation model for real-time symptom analysis of the user, offering users personalized health insights.

What we learned

Learned to make the most out of Gen AI services in AWS, MongoDB Altas database and to develop a complete full stack web application

What's next for HealthTrack Pro

  • Mobile App Development: Expanding HealthTrackPro to a mobile app for wider accessibility.
  • Integrating Wearable Data: Connecting with wearable devices (e.g., fitness trackers, smartwatches) to provide real-time health tracking and insights.
  • Community Features: Adding features like health challenges, user forums, and social sharing to foster a supportive community of health-conscious users.
  • Expansion to Telemedicine: Exploring telemedicine integration, where users can consult with health professionals directly through the platform.
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