Description
An AI platform that automates personalized cover letter creation for freelancers and job seekers. It analyzes job descriptions, matches relevant experiences, and adapts the user’s writing style. This ensures high-quality, tailored cover letters that reflect the user’s tone and style.
Practical Use Case and User Story
As a job seeker, I need a platform that uses a Retrieval-Augmented Generation (RAG) approach to pull relevant past projects from a vector store and combines them with LLMs for generating personalized cover letters. The system should utilize prompt engineering and OpenAI models to produce fast, accurate, and professional outputs tailored to my style. It must adapt to different model versions and complexities, ensuring high-quality results for various job applications.
Tech Stack Involved
- GCP (Colab, Drive)
- Machine Learning (HuggingFace Transformers, FAISS for vector similarity search)
- Language Models (OpenAI Language Models)
- RAG-based Architecture (Retrieval-Augmented Generation)
- Prompt Engineering (Custom templates for cover letters)
- Data (Excel-based portfolios, catalogs, processed with Pandas)