Team 748_Medical Report Analysis

Group photo
captured photo during hackathon
Drain tumor detection - training the model
Testing the output
Heart disease detection
output- heart disease detection
Registration page
Login page
File uploading page
List of all stored data/reports

Inspiration

To develop innovative solutions in medical field for automated brain tumor detection and heart disease detection more accurately. hackathon encourages us to develop innovative algorithms and solutions for the real world problems.

What it does

It'll predict accurately whether the person has the disease or not by taking real-time inputs. We created wed page where person can store their medical reports/data in thier login.

How we built it

We used Kaggle dataset and Machine Learning algorithm to train & test the model, it'll predict whether the person is having disease or not based on trained model.

Challenges we ran into

We faced problem in getting accurate prediction value, after working on it we resolved that problem.

Accomplishments that we're proud of

Utilizing historical patient data and real-time inputs, AI algorithms can predict disease progression, treatment response, and potential complications.

What we learned

We gained a deeper understanding of various machine learning algorithms and techniques used for medical image analysis and disease detection. Time Management: The time constraints of a hackathon helps us to manage our time efficiently.