This content originally appeared on DEV Community and was authored by ANIRUDDHA ADAK
This is a submission for the KendoReact Free Components Challenge.
What I Built
I created an AI-Powered Personalized Learning Companion — a React app that adapts to each student’s unique learning style and progress.
Using KendoReact’s free UI components, the app helps manage study schedules, suggests resources based on performance, and even recommends timely breaks or motivational nudges to keep users engaged and balanced.
This companion goes beyond simple task management, offering a supportive, intelligent assistant that grows with the learner to make studying more effective and less stressful.
Demo
Live demo: Your Live Demo Link
Source code: Your GitHub Repository Link
Here’s a screenshot of the dynamic dashboard where users can view their personalized study plan and motivational insights:
KendoReact Components Used
- Scheduler for study planning
- Grid for task and progress tracking
- Notifications for motivational messages
- Button for interactions
- DropDownList for customizing preferences
- Dialog for resource recommendations
- Charts (Line and Bar) for visualizing progress
- Tooltip for helpful hints
- Drawer for navigation
- Inputs (TextBox, NumericTextBox) for data entry
AI Coding Assistant Usage (Code Smarter, Not Harder)
I used the AI Coding Assistant to generate initial component setups and streamline the integration of complex UI features like multi-agent coordination and real-time progress updates. It saved development time and helped keep the code clean and maintainable.
Nuclia Integration (RAGs to Riches)
Nuclia’s RAG platform was incorporated to power a smart resource recommendation system. Based on the student’s current progress and preferences, the app retrieves the most relevant articles, videos, and practice tests, making learning very personalized and interactive.
Thanks for reviewing my submission! This project was a rewarding opportunity to combine KendoReact’s powerful UI tools with AI-driven personalization to create a genuinely helpful learning companion.
This content originally appeared on DEV Community and was authored by ANIRUDDHA ADAK