GitHub Repository for Team 52 of the JP Morgan Chase Code for Good hackathon on June 4-5 2022.

• 04th June, 2022.
  • Problem Statemet revealed .
  • Model building started.
  • Importance of individual features calculated.
• 4th June, 2022.
  • Commencement of the project.
  • Project deployed.

Anubhuti, a Non Profit, is attempting to create a learning environment for underprivileged children by acting as a liaison between schools and the community. Anubhuti works with the government to improve children's conceptual knowledge in order to help them go into school. They motivate kids to apply by raising awareness and providing incentives.

We aim to create a web-app which will be used to provide technological assist to Anubhuti in gathering data and information from Fellows (workers) and analysing it on a daily, weekly, or monthly basis, to assess the program's impact and reach on a monthly and quarterly basis and to boost its pitches to various funders, the group requires assistance in streamlining data collecting and generating data visualisations of their impact.

• ⛳ Creation of API
  • Run server and request predictions
  • Testing the API
• ⛳ Web Development
  • Front End
    • Landing page
    • Input Form
    • Visualization of graphical data
  • Back End
    • Integrating the API with the web-app
    • Calling of responses for the input.

• HTML
• CSS
• Python
• GIT
• Github
• NodeJS

To run this project, you will need to add the following environment variables to your .env file

MONGO_ATLAS_URI

SECRET KEY

  POST /login/

So we will be given the userName for each Associate from there we can use the userName to get the list of Fellows for that Associate.

For MultiLevel Authentication

To Send Notification to the Program Associate that they have pending approval of the data.

To Accept the data.

To Reject the data.

To Add a student in the database.