Damage Assessment Photos → AI Analysis → Resource Allocation Report
Process field photos from disaster zones through AI analysis to automatically generate resource allocation reports and priority maps. Designed for relief coordinators and assessment teams.
Workflow Steps
OpenAI GPT-4 Vision
Analyze damage assessment photos
Upload field photos to GPT-4 Vision API to automatically assess damage levels, identify infrastructure needs, and extract key details like building conditions, road accessibility, and population density indicators. Train the model on disaster assessment criteria.
Make (formerly Integromat)
Process and categorize findings
Use Make to automatically process GPT-4 Vision outputs, categorize damage by severity levels, extract GPS coordinates if available, and structure the data into standardized assessment formats used by relief organizations.
Notion
Generate resource allocation report
Automatically create formatted reports in Notion with damage maps, priority rankings, resource requirements, and deployment recommendations. Include photo galleries linked to specific locations and generate executive summaries for rapid decision-making.
Workflow Flow
Step 1
OpenAI GPT-4 Vision
Analyze damage assessment photos
Step 2
Make (formerly Integromat)
Process and categorize findings
Step 3
Notion
Generate resource allocation report
Why This Works
OpenAI Vision can process hundreds of damage photos in minutes versus hours of manual analysis, while Notion provides structured reporting that relief teams can immediately act upon.
Best For
Rapid damage assessment processing for disaster response teams
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