Nexus

Inspiration

As students, we've all experienced the struggle of juggling multiple learning resources—PDFs, lecture videos, textbook images, and notes—scattered across different apps. Nexus was born from the need for a unified, intelligent study companion that could understand and process any type of educational content seamlessly.

What it does

Nexus is an AI-powered multimodal learning assistant that transforms how students interact with educational materials:

• Smart PDF Analysis : Upload any PDF and get instant AI-generated summaries using Groq's Llama 3.3 70B
• Vision Intelligence: Analyze diagrams, charts, and textbook images with Llama 4 Scout's advanced vision capabilities
• Interactive Video Player: Upload lecture videos and interact with an AI that understands your content
• Context-Aware Chat : Ask questions about any uploaded material—the AI remembers everything you've shared ## How we built it We built Nexus using a modern, performant tech stack:
• Frontend: React + TypeScript with Vite for blazing-fast development
• Styling : Custom CSS with glassmorphism and premium animations via Framer Motion
• AI Integration : Groq API with multiple Llama models (3.3 70B for text, 4 Scout for vision)
• PDF Processing : pdfjs-dist for client-side text extraction
• Video Playback : React Player with custom controls
• Deployment : Vercel for instant global delivery The architecture prioritizes speed and user experience—all AI responses are powered by Groq's lightning-fast inference, providing real-time interactions that feel magical. ## Challenges we ran on
• Multimodal Context Management: Synchronizing state across PDF uploads, image analysis, and video playback while maintaining conversation context was complex. We solved this with a centralized context system that updates as users interact with different media types.
• PDF Text Extraction : Processing large PDFs client-side without blocking the UI required careful optimization with Web Workers and streaming APIs.
• Vision Model Integration : Getting image analysis working required base64 encoding, proper error handling, and selecting the right Llama 4 Scout model for educational content.
• TypeScript Type Safety : Balancing strict typing with the flexibility needed for dynamic AI responses and various file formats. ## Accomplishments
• Built a fully functional multimodal AI app in record time
• Achieved sub-second AI response times using Groq's infrastructure
• Created a premium UI that rivals commercial products
• Successfully integrated three different AI capabilities (text, vision, video)
• Deployed to production with zero downtime ## What we learned
• Groq's API is incredibly fast—responses that would take 5-10s with other providers happen in under 1 second
• Context management is crucial for AI applications—users expect the AI to "remember" their uploads
• Premium UI/UX significantly impacts user perception of AI quality
• Client-side processing (PDF parsing, image encoding) can work beautifully with proper optimization ## What's next for Nexus
• Video Transcription : Integrate Whisper API for automatic lecture transcription
• Smart Timestamps : Auto-generate clickable chapters for lecture videos
• Study Notes Export : One-click export of AI summaries to Markdown/PDF
• Collaborative Features : Share study sessions with classmates
• Mobile App : Native iOS/Android apps for studying on the go

Built With

• 3.3
• 4
• css3
• framer
• groq
• llama
• motion
• pdfjs-dist
• player
• react
• scout
• typescript
• vercel
• vite