Inspiration: Students often waste valuable time searching for explanations, practice questions, and study material from multiple sources. We wanted to simplify learning by using AI to generate structured, personalized study content instantly from a single topic input.
What it does:Gemini Smart Companion is an AI-powered educational backend system that takes a topic as input and generates clear explanations, MCQs with answers, summaries, and downloadable study PDFs. It helps students learn faster, revise efficiently, and practice concepts using AI-generated content.
How we built it: We built the backend using FastAPI (Python) and integrated the Google Gemini API for content generation. The system exposes REST APIs for topic explanation, MCQ generation, and PDF creation. The backend is frontend-agnostic and can be connected to any frontend framework such as React or Vercel v0.
Challenges we ran into: Prompt tuning for consistent and structured AI output was challenging. Handling formatting for MCQs and converting AI-generated content into a clean PDF also required careful design. Managing API responses and performance within limited time was another challenge.
Accomplishments that we're proud of: We successfully built a fully functional AI-powered backend that dynamically generates educational content and downloadable PDFs. Achieving a clean API design and seamless AI integration within a short hackathon timeline is something we are proud of.
What we learned: We learned how to integrate generative AI into real-world backend systems, design scalable REST APIs, and handle AI-generated content programmatically. The project also improved our understanding of prompt engineering and backend architecture.
What's next for Gemini Smart Companion: Future plans include adding difficulty levels, streaming AI responses, syllabus-based PDF generation, better formatting options, and deploying the system on cloud platforms for real-world use.
Log in or sign up for Devpost to join the conversation.