SuperArc - AI Powered Study Platform

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Inspiration

As students, we often find ourselves distracted while studying — especially when switching between our e-materials, YouTube, and AI tools. A simple task like understanding a concept quickly becomes a rabbit hole of distractions.

We wanted a solution that lets students upload their study material and stay locked in — learning, asking AI questions, and watching only the right videos — all in one focused space. That’s how SuperArc was born:

An AI-powered, distraction-free study platform that helps students focus deeply and build their comeback arc.

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What it does

SuperArc is a productivity-first platform designed for students and self-learners. It lets users:

• Upload PDFs, notes, or any study materials
  
• Use AI to ask questions contextually based on their material
  
• Get YouTube video suggestions relevant to the topic they're reading
  
• Summarize long content instantly
  
• Auto-generate flashcards after each topic
  
• Study in Pomodoro mode with streak tracking and gamified progress
  
• Unlock badges like "Ignition" and "Locked In" based on study discipline

All of this happens within a dark-mode, focused workspace — built to help users stay in the zone.

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How we built it

We designed and built the UI with:

• React.js for the front end
  
• ShadCN for clean, modern UI components
  
• Supabase for authentication and file storage
  
• Gemini API for contextual AI chat, summaries, and topic detection
  
• YouTube Data API for fetching educational videos based on extracted content
  

We also built modular sections:

• A reading pane for uploaded materials
  
• AI assistant chat
  
• Flashcard tab
  
• Video suggestion tab
  
• A focus timer with built-in badge reward logic

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Challenges we ran into

• Accurately extracting readable text from PDF documents in various formats
  
• Making AI responses strictly context-aware (based on the uploaded material only)
  
• Suggesting YouTube videos that are actually relevant and educational — not just clickbait
  
• Designing the experience to feel motivational but not overwhelming

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Accomplishments that we're proud of

• Completed a fully working MVP with a clean, focused UI
  
• Integrated document-based AI chat and summarization
  
• Built a custom badge reward system tied to session streaks
  
• Created a truly distraction-free workspace that feels like a win every time you use it

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What we learned

• How to apply AI in a structured, helpful way — not just as a gimmick
  
• The power of combining productivity systems (like Pomodoro, flashcards, XP) into one flow
  
• The importance of designing with empathy for real student behavior and attention spans
  
• Technical skills around file parsing, LLM prompting, API integration, and session handling

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What's next for SuperArc – AI Powered Study Platform

• Adding support for handwritten notes (image-to-text + AI)
  
• Bringing in spaced repetition logic for flashcard reviews
  
• Releasing a mobile-optimized version
  
• Creating personalized arc journeys and deeper analytics
  
• Integrating Chrome extension to pull content from any webpage or course
  
• Launching with early users and educators for real-world testing

SuperArc is more than a study app — it’s a personal growth space for students to fight back against distraction, stay consistent, and win their arc.

Built With

• and-database-management-(postgresql).-the-application-is-deployed-and-hosted-on-vercel.-we-integrated-the-openai-api-(gpt-4o)-for-ai-features-like-summarization
• and-flashcard-generation
• api
• contextual-q&a
• file-storage
• gemini
• next.js
• openai-api-(gpt-4o)
• postgresql
• react
• responsive-interface.-for-the-backend
• shadcn-ui
• styled-using-tailwind-css-and-shadcn-ui-for-a-modern
• supabase
• tailwind-css
• typescript
• vercel
• we-used-supabase-as-our-platform-for-authentication
• youtube-data-api-v3