The problem Doc-o-Bot solves

1. DOCTOR CONSULTATION IS EXPENSIVE
   Our solution – Our Chatbot eliminate the requirement of any manpower during online interaction and eventually reduces cost

2. NO 24-7 AVAILABILITY OF MEDICAL EXPERTS
   Our solution – Unlike humans, chatbot can attend customers queries at any time of the day. Thus, the customer doesn’t have to wait company executive to help them

3. THERE IS NO LEARNING AND UPDATING TO CURRENT TREND
   Our solution – Doc-o-bot is capable of learning from interactions and updating itselves on their own as we Machine learning algorithms are integrated

Doc-o-bot is a AI - driven personalized Medical Chatbot
Our bot can

1. Predict the disease based on symptoms entered by user

2. Gives brief description of the disease

3. Suggest necessary precautions to the disease

4. Tells user the severity of the disease

Challenges we ran into

The first most challenging part was the integration of GUI with the back end python developed file. It was tough and tricky to make both of them work together but finally it worked out after a number of experiments.

The second most challenging part was choosing the machine learning models for this project. We have tried a variety of machine learning models which would give us the accurate output but finally we worked on four different machine learning models and combining all four of them in Ensemble learning was the most difficult part but be tried our best and we were able to give the accurate output.

Time was also a major factor here because implementation of all these models along with GUI and Integration takes more than a day time but we kept all our other works aside and tried to finish in on time and we did it...