98 - Medical Diagnosis

Login Page
Code snippet 1
Code snippet 2
Html/css front code - unused
Original Main Page
Menu Selection Example
User Profile

Kevaughn West

Inspiration

The wish to make it easier to have a diagnosis on concerning medical symptoms.

What it does

Reads various symptoms and conditions placed by the user to check for any associated illnesses.

How we built it

Through use of Django databases to reliably call upon data for comparison and html+css for UI and front end presentation.

Challenges we ran into

Trying to rationalize respective team member requirements, working with fewer members than expected, learning unfamiliar code, incorporating a functional api with the required tools.

Accomplishments that we're proud of

Becoming familiarized with Django, matching data comparisons from a database, participating in the Hackathon beyond the first day, working with new people, the continued drive to improve shown by myself and especially my teammate, the dedication to continuing the project beyond the hackathon for the ultimate purpose of becoming better programmers.

What we learned

Django and its effective use-cases. The difficulties that can be expected when working with an unfamiliar group or new team. Multiple new techniques to develop great software.

What's next for Medical Diagnosis

It will continue development after the Hackathon, primarily for the purpose of growth and fully understanding the use of such a large scale database through an api.

Shaquille Thomas

Inspiration

Health care is a critical aspect of and must be treated as such. Many times, minute discomforts are taken for granted and later turns out to be detrimental to one's health. This inspires our team to help lessen some of these issues by developing a web app that allows patients to be in more regular contact with their doctor and lab technicians.

What it does

This web app allows for users to update their symptoms which is later sent to their personal doctor. Appointments can then be made with the doctor. Lab techs are also users of this app that sends results directly to the patient's profile. Finally, there is an aspect that allows AI's data to be sent from to the app through an API, showing info on possible illnesses that may arise based on the patient's records.

How we built it

We used python's Django framework as the backend language and html and CSS on the frontend.

Challenges we ran into

The main challenges we ran into was the early self-dismissal of team members which made coding the frontend somewhat difficult due to a lack of highly skilled team members in that area. This made the overall project tedious and time-consuming.

Accomplishments that we're proud of

We were able to complete a large percentage of the project that was initially planned despite adversaries. We also learned the importance of being a frontend developer which widens our scope into being a full-stack developer.

What we learned

We learned the importance of teamwork as much more can be completed with less time with a team involved. We also learned to never give up despite adversities.