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Inspiration

MediMentor was born from a simple yet critical need: making reliable medical insights accessible to everyone. Many people struggle to interpret their symptoms, leading to unnecessary anxiety or delays in seeking medical care. Meanwhile, doctors often face challenges in diagnosing complex cases efficiently. By leveraging AI and medical APIs, I set out to create a tool that empowers both patients and healthcare professionals with fast, accurate, and data-driven health insights.

What It Does

MediMentor analyzes symptoms in real time, utilizing advanced AI and Isabel Healthcare’s trusted database to generate potential conditions and recommendations. It serves two key roles:

For patients: Provides valuable insights into their symptoms, helping them make informed decisions about their health.
For doctors: Offers AI-assisted differential diagnosis support, improving decision-making and patient outcomes.

How I Built It

MediMentor is built on a robust full-stack architecture, utilizing:

Frontend: HTML, CSS, and JavaScript, hosted on AWS Amplify.
Backend: Node.js and AWS Lambda for secure, scalable performance.
Authentication: AWS Cognito for secure user management.
API Gateway: Efficiently manages API requests between frontend and backend.
CloudWatch: Monitors logs and performance for debugging and optimization.
IAM: Ensures secure access and permissions for AWS services.
CloudFront: Optimizes content delivery for faster load times.
Medical Data: Powered by Isabel Healthcare’s API to deliver accurate, AI-driven health insights.

Challenges I Faced

API Integration: Fine-tuning request handling and data processing for seamless communication with Isabel Healthcare’s API.
User Experience: Designing an intuitive interface that presents complex medical information in a clear and accessible way.
Scalability: Optimizing backend infrastructure to handle increasing traffic efficiently.

Accomplishments I'm Proud Of

Successfully integrating Isabel Healthcare’s API to provide accurate, AI-powered symptom analysis.
Deploying a secure and scalable infrastructure using AWS services.
Creating a user-friendly interface that simplifies complex medical insights for both patients and doctors.

What I Learned

The importance of reliable data sources in health-related AI applications.
Best practices for integrating AWS services like Cognito, Lambda, and Amplify.
The value of user-centered design in making medical AI solutions accessible and easy to use.

What's Next for MediMentor

Enhancing AI capabilities: Implementing machine learning models for even more accurate diagnostics.
Expanding API integrations: Supporting additional medical databases and real-time health tracking.
Mobile App Development: Bringing MediMentor to iOS and Android for greater accessibility.
Doctor Collaboration Tools: Enabling direct communication between users and healthcare professionals for personalized guidance.

Built With

amazon-web-services
api
cognito
css
html5
javascript
lambda
node.js
serverless

Submitted to

VOX ASTRA (Featured Article, $300k Sponsor Prize Pool, and more)

Created by

As the owner and creator of MediMentor, I was responsible for every aspect of the project from concept to execution. This includes:

Project Vision: I conceptualized the idea of MediMentor with the goal of providing accessible and accurate medical insights to both patients and healthcare professionals, ensuring a seamless user experience.

End-to-End Development: I single-handedly developed the entire application, including the frontend (HTML, CSS, JavaScript) and backend (Node.js, AWS Lambda). I architected the system to ensure it is secure, scalable, and efficient, using AWS services such as Cognito, Lambda, and Amplify.

API Integration: I integrated Isabel Healthcare’s API to ensure the platform offers trusted, real-time symptom analysis. This involved deep technical work to ensure smooth communication between MediMentor and Isabel Healthcare’s database, as well as optimizing the request and data processing mechanisms.

UI/UX Design: I designed and developed the user interface, ensuring it was intuitive and user-friendly while effectively presenting complex medical information in a way that is easy for both patients and doctors to understand.

Partnership and Collaboration: I managed the collaboration with Isabel Healthcare, which involved negotiating and reaching an agreement with the Director of Isabel Healthcare to enhance the platform with their trusted medical data.

Continuous Improvement: I continuously monitored the application’s performance, resolved technical challenges, and made improvements to the platform to ensure it meets user needs.

Through this hands-on involvement, I made sure that MediMentor was not only a functional tool but also one that could provide reliable and actionable insights to improve healthcare decision-making.

Pedro Augusto Cabral Oliveira

Updates

Pedro Augusto Cabral Oliveira posted an update — Mar 19, 2025 11:48 PM EDT

I'm thrilled to announce that MediMentor is now more powerful than ever! We've added a highly accurate triage function, updated the questions for better precision, and introduced an optional list of possible conditions for greater flexibility. Try it out now!

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Pedro Augusto Cabral Oliveira posted an update — Feb 26, 2025 01:14 PM EST

Exciting Update for MediMentor!

I’m thrilled to announce that I’m upgrading MediMentor with a powerful new Triage Function! This cuttingcedge feature will help users assess their symptoms more accurately and determine the best course of action whether it's self-care, visiting a doctor, or heading to the ER.

By integrating Isabel Healthcare’s advanced triage system, MediMentor is becoming even smarter, ensuring faster, more informed health decisions with AI-driven precision. This is a game-changer for anyone seeking instant, reliable, and personalized health guidance!

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