Contact person: Business Client

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Location: Rubery, United Kingdom

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"### 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!" (client-provided description)