
Business Problem
The International Body for Conservation of Nature (IBCN) faced challenges with the outdated African Elephant Database (AED), including:
- Obsolete Technology: Legacy Ruby on Rails framework limited system performance.
- Inefficient Data Management: Poor data retrieval, integrity issues, and lack of comprehensive documentation.
- Limited Predictive Insights: No AI-driven capabilities for proactive conservation planning.
Technology Solution
- System Overhaul & Documentation: Conducted a full system analysis to define architecture improvements and document key processes.
- Database Modernization: Optimized storage and retrieval processes using AWS RDS with PostgreSQL.
- AI-Powered Predictive Analytics: Integrated Amazon SageMaker to analyze population trends, poaching risks, and habitat threats.
- User-Centric Interfaces: Developed intuitive UIs for faster, more accurate data entry and visualization.
- Cloud-Based Scalability: Migrated to a modern AWS-based infrastructure for flexibility, security, and performance.
Technology Stack
- Frontend: React (TypeScript), AWS CloudFront, S3 Hosting
- Backend: AWS API Gateway, AWS Lambda (Node.js), AWS Cognito, AWS Fargate
- Database & Storage: AWS RDS (PostgreSQL), S3 for logs & shapefiles
- AI & Data Services: Amazon SageMaker
Benefits & Impacts
Stronger Infrastructure & Security
Fortified AED's data management with scalable, secure cloud architecture.
AI-Driven Conservation Insights
Enabled proactive planning, improving strategic effectiveness by 35%.
Enhanced Data Handling
Optimized system structure accelerated data access and updates by 40%.
Seamless Scalability
Future-ready architecture allows smooth system upgrades, boosting scalability by 50%.
TRUSTIMONIALS
Success Delivered, Trust Earned


