Prose AI - Multi-Agent Content Generation
Prose is an enterprise-grade AI-powered content generation and translation platform that enables users to create presentations, videos, and documents using advanced multi-agent AI systems. The platform leverages multiple AI models (OpenAI, Perplexity, Google Gemini) to generate high-quality, structured content in multiple languages.
Private Repository
This repository is private and contains proprietary code. Code samples and architecture details available upon request during interviews.
Project Summary
Built a scalable AI-powered content generation platform using Django REST Framework and multi-agent AI orchestration (LangChain, OpenAI, Perplexity) that generates presentations, videos, and documents with document translation, credit-based subscription management (Razorpay), real-time WebSocket notifications, and RAG-based content retrieval.
Tech Stack
Key Features
Multi-Agent AI Content Generation with orchestration
Document Translation preserving PDF/DOCX formatting
Credit-Based Subscription Model with Razorpay
Real-Time WebSocket Notifications
RAG with Vector Store using FAISS
Video Generation Pipeline with Azure TTS
What Makes This Unique
Multi-Agent Orchestration Architecture with supervisor pattern
Credit-Based Monetization with three-tier credit system
Format-Preserving Document Translation
Streaming Content Generation with LangChain
Vector-Based Rubric Matching with FAISS
Complexity & Challenges Solved
Multi-Agent System Coordination with error handling
Asynchronous Content Generation with streaming
Payment Integration & Webhook Handling
Document Processing at Scale with memory efficiency
Real-Time Notification System with Django Channels
Credit Transaction Integrity with atomic operations