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29 changes: 25 additions & 4 deletions Checkpoints/Checkpoint2/Sample.md
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## Team Name
Fill team name here
Hack-O-Geeks

## Team members name
Fill details here
Prem Kumar (Lead), Ankit Kumar, Satish Jaiswal, Sandeep Kumar

## A brief about work done till now
Tell what have you done and how much part is left

## Repository link
As we have explained before, we have made the furthur thungs for our dibetic predictor website.

### Things we have done till now :

- Implemented proper login system using flask-login
- Made frontend of user login and signup page and
- Made interface page for accepting inputs from user
- Developed ML algorithm using Linear Regression
- Intgrated this algorithm with our app using flask
- Created froms.py file using flask-wtf for our all forms
- Implemented Google Map API in our web app for user that probodes a list of top 10 doctor based on their inputed location


### Things we have to do next

- We have to make an interface for user to interact after the algorithm predict that a person is dibetic
- We have to show all the recommended doctors on the web page (based on their locations). Till now the app only returning json data.
- We are going to recommend some suggestion to users regarding the dibetic lifestyles
- We are going to provide some sort of tracker system to our app to track their medication use which will track their activities which we have recommended.(For their diabetic lifestyles)
- Tommorow we are going to put our app live and will put a proper Readme file to our repo

## Repository link
https://github.com/sandeepkhr/diabeteasy

## Any other link
## Any other link