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  Testcases

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  Thumbnail

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  Deployed

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  Analogy

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  Step BY step

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  Stroy telling

StyleMyStudy 🎓✨

Inspiration

Learning is never one-size-fits-all. Some students understand better through stories, others through analogies, and some prefer clear step-by-step explanations. We wanted to build an AI-powered assistant that adapts dynamically to the learner’s style, making difficult subjects easier to grasp.

What it does

StyleMyStudy is an AI-driven multi-agent system that explains any concept in different teaching styles:

• 📖 Storytelling Agent → Turns concepts into engaging stories.
  
• 🔗 Analogy Agent → Explains by comparing with real-life examples.
  
• 🪜 Step-by-Step Agent → Breaks down concepts into structured steps.
  
• 🎯 Style Selector Agent (Coordinator) → Orchestrates the process and routes the query to the right agent based on user choice.
  

👉 Users simply input a concept (e.g., Photosynthesis), select their preferred learning style, and receive explanations tailored to them.

How we built it

• ⚡ Multi-Agent Architecture powered by Maestro
  
• 🐍 Agents built in Python using FastAPI
  
• 📦 Containerized with Docker for smooth deployment
  
• 🔑 Integrated OpenAI APIs to generate natural, adaptive explanations
  
• 🚀 Deployed agents on Maestro platform with dlm deploy for live testing
  

Challenges we ran into

• 🔄 Learning how to configure Maestro agent deployment with maestro.yaml, requirements.txt, and entrypoints
  
• 🐳 Debugging Docker + FastAPI services when Maestro showed configuration errors
  
• ⚡ Handling different explanation styles consistently while keeping responses lightweight
  
• 🔑 Managing API keys & environment variables securely
  

Accomplishments that we're proud of

• ✅ Built a working 4-agent network that runs autonomously
  
• 🌍 Made explanations accessible in multiple styles for different learners
  
• 🛠 Learned to package & deploy AI agents with Maestro’s unified pipeline
  
• 🎥 Created a demo showing agents live in action!
  

What we learned

• 🧩 How to design modular AI agents that can collaborate
  
• 🚀 Deployment best practices with Maestro CLI and service configs
  
• 🔑 Importance of input/output schemas for clean agent communication
  
• 💡 The value of tailoring AI explanations to user preferences
  

What's next for StyleMyStudy

• 🌐 Expand into multi-language support for global learners
  
• 📚 Add visual learning agents (diagrams, mind maps)
  
• 🔎 Build a personalized learning history so the agent adapts over time
  
• 🎓 Partner with EdTech platforms to integrate directly into classrooms
  

⚡ With 4 Maestro-powered agents, StyleMyStudy is already live and ready to show how AI can personalize learning for everyone.

Built With

• api
• maestro
• openai
• python
• typescript