AI-Based Study Assistant
Role
Creator and Lead Developer
Date
February 15, 2025
Responsibilities
I developed the platform using Python, Django, and MySQL. I integrated AI with NLP and machine learning to deliver personalized study suggestions, real-time doubt resolution, and performance tracking through a clean web interface.
Tools & Technologies
Front-end: HTML, CSS (Django templates) Back-end: Python, Django AI: NLP (NLTK/spaCy), Machine Learning Database: MySQL
Overview
In early 2025, I launched the AI-Based Study Assistant, a web-based learning platform designed to enhance the study experience through personalized recommendations and AI-powered support. The platform provides real-time doubt resolution, interactive learning, and performance analytics—making it a virtual companion for self-paced learners.
Built with Python and Django on the backend and styled using HTML and CSS templates, the system leverages advanced natural language processing tools like NLTK and spaCy, along with machine learning algorithms to adapt to each user’s learning behavior. MySQL was used to manage user and quiz data efficiently.
This project highlights my skills in full stack web development, AI integration, and user-centered educational design, showcasing how technology can make learning more intuitive, responsive, and effective.