CAT FieldIQ

🏁 Inspiration

Field inspections are essential but time-consuming. Operators juggle photos, notes, paperwork, part lookups, and site planning—all while working in fast-moving, high-risk environments.
We wanted to imagine what would happen if CAT Inspect and CAT AI Assistant were fused into one intelligent, mobile-first companion that transforms raw field input into instant, actionable insight.
That idea became CAT FieldIQ.

🚜 What it does

CAT FieldIQ is a multimodal AI assistant for field operations.
From a phone, operators can:

• 📸 Take a machine photo → get a full PASS/FAIL/MONITOR inspection report
  
• 🎤 Speak notes → convert to structured inspection logs
  
• 🔧 Snap a part → receive ranked part numbers with fitment certainty
  
• 🗺️ Enter site details → generate multiple optimized layout plans with ASCII diagrams
  
• 📝 Create a unified report combining all results

It’s fast, structured, operator-friendly, and works entirely in the browser.

🏗️ How we built it

• Next.js 14 (App Router) for a lightweight mobile-first interface
  
• Tailwind CSS with a CAT-themed palette for a native feel
  
• OpenAI GPT-4o for:
  • Vision-based inspections
    
  • Part identification
    
  • Site layout reasoning
    
  • Report summarization
    
• Next.js API routes to structure JSON outputs and enforce safety
  
• Client-side React components for smooth mobile workflows, image previews, and result cards

Our focus was clarity and reliability: simple screens, minimal text, strong visual hierarchy, and single-tap actions.

⚠️ Challenges we ran into

• Ensuring GPT-4o returned strict JSON for inspection and parts data
  
• Designing a UI that felt native on mobile, not like a shrunk web form
  
• Getting layout plans to produce readable, consistent ASCII diagrams
  
• Handling image upload constraints across browsers
  
• Managing multiple multimodal flows (vision, voice, text) under hackathon time pressure

🏆 Accomplishments we're proud of

• A fully working, multimodal AI assistant built end-to-end
  
• Clean mobile interface designed for real CAT field workflows
  
• Structured AI reports that genuinely feel operator-ready
  
• Reliable parts identification with ranked fitment confidence
  
• Generating multiple site layout plans with clear reasoning
  
• Creating an experience that feels like a next-generation CAT product

📚 What we learned

• How to orchestrate multimodal prompting for real-world tasks
  
• The importance of operator-first UI design in industrial environments
  
• How CAT inspections work, including PASS/FAIL/MONITOR patterns
  
• Rapidly building integrated Next.js + GPT-4o systems
  
• Designing for speed, clarity, and low cognitive load

🚀 What's next for CAT FieldIQ

• Integrating real CAT parts catalogs and service manuals
  
• On-device photo capture enhancements and AR overlays
  
• Fleet-level dashboards for managers and inspectors
  
• Offline-first mode for remote job sites
  
• Auto-generated maintenance schedules across multiple machines
  
• Expanding FieldIQ into a full platform for CAT operators worldwide

Built With

• figma
• next.js
• openai
• tailwind