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Projects can focus on creating scalable ad content, automating ad reviews, or analyzing ad performance to deliver data-driven insights. \n\n---\n\n## Overview  \n\nOur AI-powered web application that transforms website content into unique advertisement images. By analyzing a company's website URL, the app uses retrieval-augmented generation (RAG) to extract key themes and generates contextually relevant marketing visuals using AWS Bedrock's Titan v2 model. Users can input custom prompts to further refine the AI-generated advertisement images, creating tailored visual content that reflects the essence of the website's brand and messaging.\n\n---\n\n## Demo \n\nhttps://github.com/user-attachments/assets/0c102f4e-d342-49f9-a9bb-83cd415f1f88\n\n---\n\n## Tech Stack\n\n- AWS Titan Image Generator v2  \n- Claude - text summarization model  \n- AWS Titan Embeddings v1  \n- FAISS vector store  \n- Flask   \n- Next.js  \n- Typescript  \n\n---\n\n## Features\n\n-- Text to Image Generation   \n-- Implementation of RAG for context      \n-- Text to Image AI agent for a particular website  \n\n---\n\n**Certificate:** https://drive.google.com/file/d/1KTMOARYyfWctQkur6vEW5w0nAiARFVAZ/view?usp=drive_link \n**Certificate:** https://drive.google.com/file/d/1VQf8ocGbXeHHnrUhsa4bNQZACcUx0w6E/view?usp=drive_link\n\n---\n\n## License\n[MIT](https://github.com/abhi9ab/Rocketium-project/blob/main/LICENSE)\n\n---\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhi9ab%2Fadsage","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabhi9ab%2Fadsage","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhi9ab%2Fadsage/lists"}