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SMART INDIA HACKATHON 2022

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HACS: Holistic Academic Calendar Solutions

We empathise to empower - realising the dream of Aatmanirbhar Bharat

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Problem Statement

Ministry/Organization Name - AICTE

Problem Statement - An integrated annual academic calendar for all the Indian universities.

Understanding The Problem Statement

  • Fewer options of courses and colleges available Students of those Institutions who complete their examinations and get results early have the opportunity to select the course of their choice and move to the University of choice while those whose results are declared late have no (Or) less options of courses and colleges available for them

  • Huge cost and loss of time to students in their academic career Students also have to travel to each of these colleges to get information, apply and get admitted and so on. This results in huge cost and loss of time to students in their academic career.

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Prediction model integrated on HACS(Holistic Academic Calendar Solution)

Screenshots

dashboard admin chatbot contact

Solution

We will be creating a Landing page which will distribute our audience and it will lead to different sections specific to a disability. We have identified and worked for some of the common disabilities possible in a person to make their Web experience more accessible, smoother and easier.

1. Institutional Admin :

  • Option for creating a university record is available.
  • Real smooth UI/UX for the people
  • Speech to Command facility for the website traversal

2. Speech to Command :

  • Speech to Command for easier website traversal.

  • Speech synthesis for narrating the content present throughout the website.

4. Prediction Model :

  • *AI Chatbot based on NLP Dialogflow.
  • Sequencial reminder of the main purpose of visit of end-user.
  • Visual Imagery for easier selection and traversal through website
  • An extremely simple and easy to use website for easier synchronization with the brain.

Demo

Live Demo

Technologies Used

-Frontend tech: HTML, CSS, JS, Bootstrap and React
-Backend tech: MongoDb, Node.js
-Model: Python, ML
-Tools: Vs Code, Github, Git, Figma, Google colab, Canva and Jpyter Notebook

Contributions

Contributions and feedback are welcome! Feel free to open an issue or submit a pull request.

Made With ❤️, by Team Squadron

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