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Attendance Prediction Portal

Technologies used

  • Django server

  • repl hosting

  • MongoDB Atlas

  • AWS S3 storage

  • HTML

  • CSS

  • JavaScript

  • JQuery

  • Machine Learning

Project Objective

The project aims at creating a secure and personalized web portal for teachers to track a attendance for a particular class based on real time data or already stored data in the server. The program also enables user to predict the attendance expected on a particular day and a particular trends using a Machine Learning Model.

Project Outcome

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Find the server hosted at repl

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