Smart Savior

Inspiration

A Smart app for detecting the probablistic diseases in patients using Machine Learning

What it does

Detecting the diseases in patients through symptoms.

How we built it

Flutter FrameWork

Challenges we ran into

Patient going to doctor with symptoms and doctor recommending tests Patient coming back with test results and doctor conforming disease Doctor starting treatment

Accomplishments that we're proud of

Our application will solve the first two layers and make healthcare system more fast and efficient. We have done:- 1.) predicting disease from symptoms in our app 2.) recommending test for those diseases in app 3.) Developing AI based deep learning Algorithm for giving probability of having that disease 4.) integrating that DL algo in our app with Flask API framework

What we learned

What's next for Smart Savior

Future things we will integrate here:-

Personalized Chatbot based on NLP and vision to communicate with the users/Patient. BERT(Bidirectional encoder representations from transformers) and GPT based feature chatbots so patient can directly talk and symptoms can be auto recognized Medical report generation with the help GAN and BERT-text summarizer Adding Doctors contact and links so that those users can get a complete solution at a place Encoder-Decoder with Attention based language tranlation model to allow user communicate in every language

Built With

• flask
• flutter