-
Simple beginner code.
-
conversation example, development in process.
Inspiration
Many students struggle with managing multiple subjects, staying focused, and planning their study time effectively. I wanted to create a friendly, accessible tool that could help students organize their studies, feel supported, and reduce stress while learning. As a first-time hackathon participant, I also wanted to learn how AI could be applied to real-world problems like education and productivity.
What it does
What I Built StudyBuddy AI is an AI-powered study companion. It: Helps students plan their study schedule Provides guidance for multiple subjects Gives gentle encouragement and step-by-step suggestions Responds in a calm, friendly, and supportive tone I built it using a no-code AI platform to design the conversation flow, integrated with an AI model for natural language understanding. The AI asks users what subjects they are studying and then generates a custom study plan that balances focus, breaks, and workload.
How we built it
AI Model: Large Language Model (LLM) for natural language understanding No-Code Platform: AI workflow designer (chatbot builder) Frontend: Web-based chat interface User Data Handling: Contact capture and session management
Challenges we ran into
Designing the AI prompts to avoid repetition Making the AI respond naturally to multiple subjects Structuring the workflow so first-time users don’t feel overwhelmed Learning how to integrate user data safely I overcame these challenges by breaking the flow into clear steps: greet → capture input → AI generates study plan → provide encouragement.
Accomplishments that we're proud of
Successfully built and deployed a functional AI study companion during the hackathon Created an intuitive workflow for first-time users
What we learned
How to structure AI prompts for non-coders How to design a user-friendly conversational workflow Practical insights into time management for hackathon projects How AI can be used responsibly for educational and mental wellness applications
What's next for StudyBuddy AI
Expand subject coverage and integrate advanced study techniques Introduce personalization based on learning style and pace Add reminders and progress tracking for longer-term use Explore mobile app integration for on-the-go accessibility
Built With
- ai
- chatbot
- llm
- node.js
