GitHub / anjalichennupati / Ad_Placement_Optimization_using_RAG_and_LLMs
A project that integrates RAG and LLMs for targeted ad campaign recommendations. It extracts data via web scraping, processes it using LangChain, and enhances accuracy with FAISS. Users can input queries through a Streamlit-based UI, generating AI-powered marketing strategies and custom ad creatives with DALL·E.
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PURL: pkg:github/anjalichennupati/Ad_Placement_Optimization_using_RAG_and_LLMs
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 3.58 MB
Dependencies parsed at:
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Created at: 5 months ago
Updated at: 5 months ago
Pushed at: 5 months ago
Last synced at: 4 months ago
Topics: large-language-model, python, retreival-augmented-generation
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