Starting a new AI project

After endlessly fidgeting and not finishing my project, I finally decided to start a project.

Manga-torial

Manga-torial is a SaaS application that transforms dense college course material into engaging, personalized, manga-style comic strips. It leverages a fully serverless cloud architecture, intelligent Retrieval-Augmented Generation, and a metered subscription model.

💻 Tech Stack

✨ Key Features

1. Serverless RAG Pipeline

• Document Ingestion: upload material -> AWS S3 -> trigger Lambda function
• Vectorization: Lambda chunks text and generates vector embeddings -> store in PostgreSQL using pgvector
• Contextual Storytelling: user asks concept -> RAG model retrieves most relevant vector-embedded content.

2. Personalized AI Generation

• Structured Output: Lambda creates prompts with RAG context -> enforce Gemini to output structured story script
• Multimodal Output: Gemini generates comic -> saves to S3
• Dynamic UI: parse S3 url and create responsive manga-style viewer

3. Monetization & Security

• Subscription Gating: Integrate Stripe using AWS Lambda web hook -> update user database upon payment
• Tiered Rate Limiting: API Gateway enforces blanket rate limit on all requests
• Internal Gating Lambda checks user's subscription status in PostgreSQL -> returns 429 Too many Requests when quota exceeded
• Secure Access: All API endpoints are secured by Amazon Cognito Authorizer

TL&DR

I'm starting Serverless project to turn study material to content using AI