### Job Title: Build MVP for AI-Powered Predictive Maintenance SaaS (RentPredict AI) - No-Code/Low-Code Focus **Project Overview:** We need a skilled freelancer to rapidly prototype an MVP for RentPredict AI, a SaaS tool targeting equipment rental companies in construction/manufacturing. The app integrates IoT sensor data with AI to predict equipment failures, send alerts, and automate rentals. Goal: Functional MVP in 1 week (part-time, ~20-30 hours) using no-code/low-code tools. This is a bold, opportunistic project with potential for ongoing work if successful. **Key Requirements & Deliverables:** - **Core Features to Build:** - IoT data ingestion: Simulate or integrate basic sensors (e.g., via AWS IoT free tier or mock data) for inputs like vibration, temperature, GPS. - AI Predictions: Use pre-trained ML models (e.g., OpenAI API or Hugging Face) for failure forecasting (e.g., time-series analysis on sample data). Aim for 7-14 day predictions. - Real-Time Alerts: Mobile/SMS notifications via dashboard (e.g., push via Twilio integration if needed, or simple email). - Auto-Rental Suggestions: Basic algorithmic matching for equipment swaps (e.g., LLM-generated recommendations). - Dashboard: User-friendly UI for fleet tracking, reports, and analytics (e.g., utilization metrics). - **Tech Stack (Must Use No-Code/Low-Code for Speed):** - UI: Bubble or Adalo for mobile-first dashboard. - Backend/Automations: n8n or Make for workflows (IoT -> AI -> alerts). - Database: Supabase or Airtable for storing fleet/sensor data. - AI: OpenAI/Hugging Face APIs for predictions (no custom ML training). - Deployment: Host on Vercel or Bubble's platform; ensure it's testable via link. - Bonus: Light integrations like QuickBooks for invoicing mocks. - **Timeline & Scope:** - 1 week part-time delivery: Focus on MVP – core loop only (ingest data → predict → alert → suggest). Skip advanced features like AR or full enterprise integrations. - Use mock data for testing (e.g., sample CSV of sensor readings). - Deliverables: Deployed app link, source files/repo, basic demo video, and setup guide. - **Your Expertise:** - Proven experience with no-code tools (Bubble/n8n/Adalo) and AI integrations. - Familiarity with IoT/AI in industrial contexts is a plus, but not required. - Ability to work independently and iterate quickly. - **Budget & Payment:** A premium revenue share that you decide. **Why This Project?** High-potential niche SaaS with 80% margins – help us disrupt a $120B market. If you're excited about fast AI builds in "unsexy" industries, bid with your relevant portfolio and why you can ship in 1 week!