Build an AI-Powered Flood Risk Assessment System | Next.js + FastAPI + Google Gemini AI | Lovart AI
AI-Powered Flood Risk Assessment System | Next.js + FastAPI + Google Gemini AI
Transform flood risk analysis with cutting-edge AI technology!
This comprehensive flood detection system combines modern web development with artificial intelligence to provide accurate flood risk assessments through two powerful analysis methods.
Try Lovart Now： 👉 https://www.lovart.ai/?sourceId=900045
Lessie AI :
Official Website: https://lessie.ai/
Product Link: https://app.lessie.ai/
YouTube Channel: / @lessieai
Invitation Code: 85XX8V5N (Limited to first 500 users - 1,000 credits each)
Discord channel: / discord
Access Imagekit Dashboard: https://tinyurl.com/3wshcd88
Imagekit Documentation: https://tinyurl.com/5efbyfar
🚀 Key Features:
🗺️ Dual Analysis Methods:
Coordinate-Based Analysis: Input latitude/longitude coordinates for precise geographical flood risk assessment
AI Image Analysis: Upload terrain images for intelligent visual flood risk evaluation using Google Gemini AI
🤖 AI-Powered Intelligence:
Google Gemini 2.0 Flash Integration: Advanced AI model analyzes terrain images to identify flood risks
Smart Risk Assessment: Automatically categorizes risk levels (Low, Medium, High, Very High)
Detailed Recommendations: Receives specific, actionable flood prevention recommendations
Elevation & Distance Analysis: Calculates estimated elevation and distance from water bodies
📊 Comprehensive Risk Dashboard:
Real-time Analysis: Instant processing with loading indicators
Visual Risk Indicators: Color-coded badges and icons for quick risk identification
Detailed Metrics: Elevation readings and distance from water sources
Interactive Map Integration: Ready for Google Maps API integration (placeholder included)
🛠️ Technical Stack:
Frontend (Next.js 15.4.5):
React 19: Latest React with modern hooks and state management
TypeScript: Full type safety throughout the application
Tailwind CSS 4: Modern, responsive design system
Radix UI Components: Accessible, professional UI components
Lucide React Icons: Beautiful, consistent iconography
Backend (FastAPI):
Python FastAPI: High-performance async API framework
Google Generative AI: Gemini 2.0 Flash model integration
PIL (Pillow): Advanced image processing capabilities
Pydantic: Data validation and serialization
CORS Support: Cross-origin resource sharing enabled
Key Technical Features:
File Upload Validation: 10MB limit with comprehensive error handling
Image Processing: Automatic RGB conversion and format validation
API Error Handling: Robust error management with user-friendly messages
Responsive Design: Mobile-first approach with gradient backgrounds
Loading States: Smooth user experience with loading indicators
🎓 What You'll Learn:
Setting up a Next.js 14 project with TypeScript
Integrating ImageKit for secure image uploads and transformations
Building a drag-and-drop image uploader
Creating a real-time, interactive UI for image editing
Managing state and feedback for async operations
Responsive, accessible design with Tailwind CSS
Deploying your app for production
🌟 User Experience Highlights:
Intuitive Interface:
Tabbed Navigation: Easy switching between analysis methods
Drag & Drop Upload: Simple image upload with preview functionality
Real-time Feedback: Instant validation and error messages
Professional Design: Modern glass-morphism effects and clean layouts
Smart Analysis Results:
Risk Level Visualization: Clear risk categorization with appropriate colors
Detailed Descriptions: Comprehensive analysis explanations
Actionable Recommendations: Specific steps for flood risk mitigation
-- Quantitative Data: Precise elevation and distance measurements
📱 Perfect For:
Urban Planners: Assess flood risks in development areas
Property Developers: Evaluate land suitability for construction
Insurance Companies: Risk assessment for property coverage
Emergency Services: Quick flood risk evaluation for response planning
Researchers: Academic studies on flood prediction and prevention
Homeowners: Personal property risk assessment
📚 Materials/References:
Deployed website: https://flood-analyser-frontend.verce...
GitHub Frontend: https://github.com/mendsalbert/flood-...
GitHub Backend: https://github.com/mendsalbert/flood-...
👋 Social Media:
/ mendsalbert
/ mends-albert
https://t.me/albertmends
💼 Business inquiries: [email protected]
#NextJS #FastAPI #Python #TypeScript #TailwindCSS #GoogleGeminiAI #FloodDetection #AIAnalysis #WebDevelopment #ReactJS
#lovart #lovartai #createwithlovart
⏰ Timestamps:
00:00:00 - 00:01:54 - Intro
00:01:54 - 00:04:37 - system architecture
00:04:37 - 00:09:27 - lovart AI
00:09:27 - 00:13:45 - Lessie AI
00:13:45 - 00:18:57 - project setup
00:18:57 - 00:53:57 - frontend
00:53:57 - 01:20:10 - backend
01:20:10 - Integration + deployment