CONGIFY AI

Hassan mehmood — Sun, 19 Jan 2025 03:28:29 +0000

This is a submission for the:

Join us for the GitHub Copilot 1-Day Build Challenge:**

Transitions and Transformations

What We Built

Get Started Page:

Analysis Page:

STATEMENT :

Early and accurate diagnosis of Alzhemier's disease is critical but ofter delayed. But from now, you donot have to run to hostipal ,get in the line , wait for hours to get your MRI scan and then weeks to get you report.

INTRODUCTION:

Introduce You CONGIFY AI , an Alzhemier's disease detector where you can not only get your reports using your MRI scan but our app also tell you the precausions and how to recover from this disease.

DETAILS:

Furthurmore, for more assurance you can read articles of highly rated and talented peoples who works in this field and knows how to recover a patient from this disease.

But wait , we are not over yet :). We also provide you a quick way to save your time and money so you dont have to search for professional doctor for appointment. YES, you also provide appointments of highly individuals doctors so you can easily contact them and get your appointment.

Demo

Projects DEMO

Repo

Here is my Repo : https://github.com/HassanMehmood413/CONGIFY-AI

This repo is also available for opensource contributions :)

Copilot Experience

Honestly, a quiet good experience cuz I am not using it before. When I get to know about this , literally it helps alot during our project. You know programmers have to deal with alot of errors and it helps alot in this way.

GitHub Models

Yeah , we used OpenAI's Codex model

Conclusion

`Some problems that people have to face:`

Limited accessibility to diagnostic tools and specialized doctors.
Late diagnosis can lead to worsening health outcomes and higher costs.

`Our Solution:`

Developed an app, that reduces not only your cost but also your headache:

Diagnose Alzheimers's disease and its type/stages.
Predict future risks of developing Alzhemiers's
Suggest preventive measures.
Facilitate doctor consultations in the patients's area.

Team Leader:
Hassan Mehmood

Credit Teammates:

Danish Mustafa
Uzair Waseem
Muhammad Sammar Usman

DEV Community: Hassan mehmood