/dbit-lor

Primary LanguageCSSMIT LicenseMIT

DbitLor - An Automated System For LOR process automation

Python Django JavaScript React HMTL React Native CSS

Table of contents

Overview

DbitLor - An Automated System For LOR process automation

Aim

To develop the LOR Process Automation System to simplify the process of getting a Letter of Recommendation from any faculty in the college.

Problem Analysis

To simplify the process of applying, drafting, approving and printing a LOR. Current scenario is that the student has to talk to the faculty if he/she would give a LOR, then the student and the faculty coordinate and draft a LOR, which is then approved. Once approved, the student has to submit a letter of request to the administration department of the institute to get the institute letterhead. Later, the student prints the drafted LOR on the letterhead and it is signed by the faculty This process has a lot of delays, involves repeated visits to the institute, and various other challenges that increase the difficulty to get a LOR. Therefore, by taking the process online, it would become an advantage to the faculty, the students as well as the college administration.

Objective

Make an online based system where the student can ask a faculty in the college to give them a LOR. The system then allows the teacher to accept or reject the proposal. Once the teacher accepts the request, it allows the student and teacher to work on a draft of the LOR. Once, the draft is submitted by the student, the faculty can make changes in the draft, and once the draft is final, the faculty can approve the draft. When the draft is approved, the system would embed the draft into the letterhead of the institute and also has the option to embed the digital signature of the faculty and the final LOR can be downloaded by the student.

Screenshots

Built with

  • Python
  • Django
  • JS
  • React
  • Heroku

Authors

  • Hayden Cordeiro
    Linkedin Github

  • Grejo Joby
    Linkedin Github

Frontend

Github

Backend

Github

Android App

Github