HealthCare - Healthcare Solutions for better Life
CoC Inheritance 2022 || team-4-bit-mohit-bhoir
CoC Inheritance 2022 || team-4-bit-mohit-bhoir
HealthCare is a medical website which will help users to easily track their diseases, find nearby clinics, hospitals, get more information about the medicines by just uploading the medicine image.
Table of Contents
- In website any user can access the search feature to get the detail info about the disease.
- After logging in the user can upload the image of the medicine they want to search for to know more about it.
- The user can also search clincs/Hospitals near it by just one click.
- To suggest the specific medicines based on the input of disease from the user.
- To help users to track the nearby hospitals, clinics in case of an emergency.
- To give more information about medicine by just uploading the image of medicine box/packet on the website.
- Html
- Css
- Js
- React
- Nodejs
- Expressjs
- MongoDB
- Python
- Flask
Fully Implemented Features:-
- Search option to get details of disease
- Ml model to get details of medicine by uploading image
- Finding nearyby clincs and hospitals using Map
Partially Implemented Features:-
- Integration of ml model into website
- Loing and logout functionallity
- Keeping track of users history through frequent searches to provid better health solution
- One click appointment booking with doctors
- One to one consultation with doctors
- Through our website the users can get primary and quick solutions to their problems before going to our doctor.
- Through our Find Doctor feature the users can easily locate nearby hospitals even in remote areas. This can be quite beneficial in emergency conditions.
- Digitizing the appointment booking can reduce the crowding at hospitals and provide hassle free and easy bookings.
git clone https://github.com/MohitBhoir/Team-4-bit-Mohit-.git
cd client
npm install
npm start
cd server
npm install
npm start
Install the required modules:-
pip install flask
pip install requests
pip install flask-wtf
pip install keras_ocr
pip install wtforms-validators
After this run the medicine_name_extraction.py file using following command:
python medicine_name_extraction.py
Click on the local host link which will redirect you to the deployed model website
- Anany Bangera: Email:- [email protected]
- Ketaki Deshmukh: Email:- [email protected]
- Mohit Bhoir: Email:- [email protected]
- Mihir Rathod: Email:- [email protected]
- Jenil shah: Email:- [email protected]
- Preet Jain: Email:- [email protected]