STUDY BUDDY

Study Buddy is an AI-powered chatbot that helps high school students learn faster by summarizing topics, answering questions, and staying focused.

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🧠 Study Buddy Chatbot

📌 Inspiration

Many high school students struggle with finding guidance and motivation while studying. The Study Buddy Chatbot was created to provide a helpful, friendly assistant that students can chat with for advice, encouragement, and answers to study-related questions.

🚀 What It Does

  • ✅ Interactive chatbot UI
  • ✅ Futuristic design and mobile-friendly layout
  • ✅ Chat history and real-time messaging
  • ✅ Built with HTML, CSS, JavaScript, and Node.js backend
  • 🔜 Planned AI integration: Designed to connect with OpenAI or OpenRouter API for GPT-powered tutoring

🛠️ How I Built It

  • Frontend: Vanilla HTML, CSS, JavaScript
  • Backend: Node.js + Express server
  • AI Integration (planned): OpenRouter / OpenAI GPT model
  • Currently uses dummy responses due to lack of API billing access, but fully coded to support real AI once enabled.

⚡️ Challenges

  • Limited access to paid AI APIs (no credit card for OpenAI key)
  • Model downloads for free LLMs were too large for the hackathon timeframe
  • Overcame by implementing a dummy AI layer to simulate responses and demonstrate concept functionality.

🏆 Accomplishments

  • Built a responsive, futuristic chatbot UI from scratch
  • Designed a backend ready for secure AI API integration
  • Learned how to structure AI chat flows and secure API keys
  • Developed a working prototype despite payment/API limitations.

📖 What I Learned

  • How to build a chatbot with vanilla JS
  • Serving static files and using Express
  • Importance of secure API handling
  • Hackathon project planning under time constraints

🔮 What’s Next

  • Enable OpenRouter/OpenAI GPT-3.5 or GPT-4 API calls
  • Deploy online using Replit or Render + GitHub Pages
  • Add features: voice input/output, topic-based study modes, flashcards

▶️ How to Run

  1. Clone this repo
  2. Install dependencies: bash npm install 3. Run: bash node server.js

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