https://github.com/avina20/classmate-io
A scalable web application designed to revolutionize the learning experience. By providing a multifaceted approach to learning enhancement, the web application seeks to create a conducive environment for students who grapple with distractions, all while building a scalable application on Cloud and incorporating MLOPs features
https://github.com/avina20/classmate-io
aws flask machine-learning nlp web
Last synced: about 2 months ago
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A scalable web application designed to revolutionize the learning experience. By providing a multifaceted approach to learning enhancement, the web application seeks to create a conducive environment for students who grapple with distractions, all while building a scalable application on Cloud and incorporating MLOPs features
- Host: GitHub
- URL: https://github.com/avina20/classmate-io
- Owner: Avina20
- Created: 2024-01-27T01:18:14.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-01-27T01:39:31.000Z (over 2 years ago)
- Last Synced: 2025-06-04T13:26:58.042Z (about 1 year ago)
- Topics: aws, flask, machine-learning, nlp, web
- Language: JavaScript
- Homepage:
- Size: 280 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# classmate-io
In response to the challenges posed by digital distractions in contemporary education, this study introduces a scalable web application designed to revolutionize the learning experience. Traditional learning methods, reliant on note-taking and memorization, often struggle to captivate students in an era of abundant internet-based diversions. The proposed solution addresses this issue by incorporating gamification principles, offering a reward system and feedback analysis to boost engagement and motivation. Beyond typical Multiple-Choice Question (MCQ) generation, the application encompasses features such as text summarization, notes handling, login/signup functionality, lecture transcription, and efficient data storage. By providing a multifaceted approach to learning enhancement, the web application seeks to create a conducive environment for students who grapple with distractions, all while building a scalable application on Cloud and incorporating MLOPs features
