Build MVP for AI-Powered Building Inspection Platform (Lumova.ai)

I am Pierre Yancy, Managing Partner of Lumova Aerial & Media, a Kansas City-based drone data company expanding into an AI-powered SaaS platform. We are building [login to view URL] — a platform that transforms drone-captured data into building intelligence, condition scoring, and automated inspection reports. Important: All components of this MVP — frontend, backend, UI, reports, and overall experience — must be fully branded under Lumova.ai. This platform will be used in investor presentations and client demonstrations. ⸻ Key Objective: This MVP must clearly demonstrate a simple but powerful concept: We can take building data, analyze it, and produce a clear, understandable score. Think: * Zillow Zestimate — but for building condition * A clean, visual Building Health Score (0–100) ⸻ Initial Use Case (Kansas City Pilot): * We will provide one real building in Kansas City, Missouri * MVP will initially use demo/sample data * Platform must be structured to later integrate: * Drone imagery * LiDAR data * Thermal data ⸻ MVP Scope (Phase 1): 1. Web-Based User Portal * Secure login/authentication * Clean, modern dashboard ([login to view URL] branded) * Ability to upload or select a building dataset * View results in a simple, investor-friendly interface ⸻ 2. Demo Data + Data Pipeline * Use preloaded sample building data * Backend structured for future real-world drone data integration * Cloud storage (AWS S3 or similar) ⸻ 3. AI / Analysis Layer (Simplified) We are not expecting fully custom AI models at this stage. Use: * Pre-trained computer vision models * APIs or lightweight detection logic System should: * Identify visible issues (cracks, wear, anomalies) * Tag or highlight areas on images ⸻ 4. Building Score Engine (Core Feature) This is the most important part of the MVP. Develop a simple, logical, and visually compelling scoring system. Inputs may include: * Number of detected issues * Severity (light, moderate, severe) * Surface condition indicators Output: * Building Health Score: 0–100 Also include: * “Good / Fair / Poor” classification * Simple explanation of how the score is derived ⸻ 5. Visualization Layer * Image-based viewer (required) * Optional: lightweight 3D viewer * Ability to: * View building * See highlighted problem areas ⸻ 6. Automated Report Generation ([login to view URL] Branded) Generate a clean, professional PDF report including: * Building overview * Detected issues * Visual highlights * Final Building Health Score * Summary insights All reports must be branded under Lumova.ai. ⸻ Preferred Tech Stack (Flexible): * Frontend: React / [login to view URL] * Backend: Python (FastAPI) or Node.js * AI / CV: Python (OpenCV, pre-trained models, APIs) * Cloud: AWS (S3, Lambda, EC2) * Database: PostgreSQL or Firebase ⸻ What Success Looks Like: At the end of this MVP, we should be able to: * Upload or select a building * Run analysis * Display visual issue detection * Generate a Building Health Score (0–100) * Produce a clean, Lumova.ai-branded report * Present the platform confidently to investors and clients ⸻ Timeline: 4–6 weeks preferred ⸻ Budget: Open to proposals (milestone-based preferred) This is a long-term platform, and strong performance can lead to ongoing development work. ⸻ Ideal Developer: We are looking for someone who: * Has experience building SaaS platforms * Understands AI and computer vision fundamentals * Can move efficiently and communicate clearly * Thinks like a product builder, not just a coder ⸻ Bonus Experience: * GIS or mapping systems * Drone data processing * Digital twin platforms * Inspection or analytics tools ⸻ About Lumova: Lumova Aerial & Media currently provides: * LiDAR scanning * Drone mapping * Infrastructure inspections We already capture high-value data. This platform represents the next step: building the intelligence layer that turns data into decisions. ⸻ How to Apply: Please include: 1. Relevant SaaS or AI projects 2. Your recommended tech stack 3. Estimated timeline 4. Any ideas to improve the scoring system or user experience ⸻ Closing Statement: We are building a scalable, investor-ready platform under the [login to view URL] brand. We are looking for a development partner who understands both execution and long-term product value.

Project ID: 40387924