Cadenza - AI-Powered Grant Writing Platform
Role: Developer
Cadenza revolutionizes grant writing for nonprofits through sophisticated AI automation. As Head of AI, I architected the complete backend infrastructure that transforms weeks of manual grant writing into intelligent, automated processes completed in hours. Key innovation includes a self-learning API system that autonomously prevents errors, achieving 75% reduction in failure rates without human intervention.
Project Screenshots
Professional Grant Report Output - Publication-ready documents
Interactive Report Builder - Real-time collaboration interface
Impact Visualization - Data-driven metrics dashboard
AI Assistant - Intelligent grant writing guidance
Automated Analytics - AI-generated visualizations
Demo Video
Impact & Results
80%
reduction in report creation time
75%
reduction in API failure rates through self-learning
Multi-stage
retrieval achieving 95% relevance accuracy
Technical Architecture
Docker/Flask/SocketIO/Celery architecture
Custom LLM integration with RAG
Pinecone vector database for semantic search
Real-time collaboration via WebSockets
Asynchronous task processing with Celery
Self-learning error prevention system
Challenges & Solutions
Challenge 1
Building multi-tenant architecture for 500+ concurrent organizations
Solution 1
Implemented custom RAG with Pinecone and LLM-generated metadata
Challenge 2
Creating intelligent RAG system with dynamic metadata matching
Solution 2
Developed Preventative Instruction (PI) system for autonomous error prevention
Challenge 3
Designing self-healing API integration that learns from failures
Solution 3
Built distributed processing with Celery for concurrent report generation
Challenge 4
Processing heterogeneous data from dozens of sources simultaneously
Solution 4
Created dynamic chunking algorithm optimized for grant documents
Challenge 5
Ensuring complete data isolation and security for sensitive nonprofit data
Solution 5
Designed secure credential management with server-side encryption