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Developed an AI-powered web app during Gen AI Rush Buildathon that graded knee osteoarthritis severity from X-ray images and generated detailed patient reports using TensorFlow, Gradio, and OpenAI API

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Gen-Ai-Rush-Buildathon

Submission Instruction:

  1. Fork this repository
  2. Create a folder with your Team Name
  3. Upload all the code and necessary files in the created folder
  4. Upload a README.md file in your folder with the below mentioned informations.
  5. Generate a Pull Request with your Team Name. (Example: submission-XYZ_team)

README.md must consist of the following information:

Team Name - Team Titans

Problem Statement - Knee OsteoArtheritis AI Report WebApp

Team Leader Email - [email protected]

A Brief of the Prototype:

Osteoarthritis is a joint disease impacting millions worldwide WHO is 2019 said that there are 528 million people worldwide living. In India, about 150 million people have osteoarthritis,while 32.5 million in United states suffer from it. They go through a lot of pain like Joint pain, morning stiffness, pain during movement, pain at rest

As Osteoarthritis can you detected through X-Rays it can be also caused due to many other factors. The combination of X-rays and related factors such as obesity, age, height, bone density can help us detect Product Solution (1-3 Slides) What the machine does it takes the X-ray input from the user and puts it through the model after that the model categories the X-ray as the severity of the patient After the process id done it combines it with other factors like the weight, age, height, bone density which gives us end results also by using OpenAI we created a prompt where when user puts all this info it gives them suggestions about the Osteoarthritis. Differentiations (USPs) Considering various factors that can also lead to Osteoarthritis and create accurate results. Higher accurate results Prompt where you can get tailored solution according to the severity of Osteoarthritis

User Interface => User Uploads the X-Rays => User gets seventy grading => User is asked with more details such as gender, age , weights => all parameters along with it gets passed => a report is generated

Tech Stack:

TensorFLow Gradio OpenAI

Step-by-Step Code Execution Instructions:

Run the Model step by step no other thing needed

What I Learned:

There are many people who suffer with this and with this we can help people out also with medical we need to consider lots of aspects and overall view

Link to download the model:

https://drive.google.com/file/d/1t6XblfNhaDe4RskXoY_Apha6csvVReno/view?usp=sharing

Demo Video of the System

https://drive.google.com/file/d/1sm1Q5RLMmI3C8pt_nhR8-xKNEDvmaEba/view?usp=drive_link

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Developed an AI-powered web app during Gen AI Rush Buildathon that graded knee osteoarthritis severity from X-ray images and generated detailed patient reports using TensorFlow, Gradio, and OpenAI API

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