Diagnosis Form which will take input from user on various sets of field
Login Page (in case account already exist)
Sign Up Page (appears on clicking Diagnose Now button - if not signed in)
Thumbnail
Landing Page of the Website
Diagnosis Report after processing User's Symptoms through Gemini AI

What's next for MedicareAI : Self Health Diagnosis

Project Story

About the Project

The inspiration for MedicareAI stemmed from a desire to leverage technology for accessible healthcare. As a student passionate about AI and its applications, I saw an opportunity to create a platform that could provide preliminary health assessments to users, complementing professional medical advice. This project not only allowed me to apply my knowledge of AI and web development but also taught me the importance of user privacy and data security in healthcare technology.

What I Learned

Building MedicareAI was a valuable learning experience. I honed my skills in web development, particularly in integrating MongoDB for user data management. I also gained insights into the complexities of healthcare technology, including the need for accurate symptom analysis and the importance of user-friendly interfaces in healthcare applications.

How I Built the Project

I began by designing the user interface, ensuring it was intuitive and easy to navigate. I then implemented the backend functionality using Node.js and Express.js, integrating MongoDB Atlas for database management. The symptom analysis algorithm was a crucial component, requiring thorough testing and refinement to ensure accuracy.

Challenges Faced

One of the main challenges was ensuring the accuracy of the symptom analysis algorithm. I had to continuously update the algorithm based on feedback and new medical information. Additionally, integrating MongoDB for the first time posed challenges in terms of data modeling and querying.

Overall, MedicareAI has been a rewarding project, allowing me to apply my skills in a meaningful way and contributing to the advancement of healthcare technology. I look forward to further developing and enhancing this platform to make a positive impact on healthcare accessibility.

Built With

Submitted to

Google AI Hackathon

Created by

I helped @YashTripathi, I was his guiding light.

Onkar Mudegol
I worked on the front end, during this project I have learnt using Bootstrap, along with some familiar tools like HTML, CSS and JavaScript. I learned a lot during this project and also got great support and learnings from my teammates during the project, wherever needed.

Yash Tripathi
I worked on the back-end, it was my first project made using Express & Node with integration of MongoDB which was a little intimidating espcially with integration of GeminiAI through API within the application, but I learned alot from this project special thanks to my teammates for supporting and helping at every phase of the project.

Priyansh Khare
Vivek Shivam Yadav

Updates

Priyansh Khare started this project — May 02, 2024 01:24 PM EDT

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