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Zoey Davis
AI Engineer | Software Developer | Automation & LLM Workflow
New to Contra
Zoey is ready for their next project!
This concept was created to demonstrate my AI filmmaking workflow for healthcare and commercial storytelling. Using Google Flow (Veo 3), I focused on creating a cinematic, emotionally engaging scene with photorealistic visuals, natural lighting, and documentary-style camera movement.
The project explores how generative AI can be used to produce authentic-looking healthcare marketing content while maintaining a warm, human-centered aesthetic.
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AI-powered PDF question-answering application that uses Retrieval-Augmented Generation (RAG), TF-IDF retrieval, cosine similarity, and OpenAI to answer questions using uploaded documents.
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Built a multilingual language identification system in Python that preprocesses text, extracts TF-IDF features, and compares KNN, SVM, and neural network classifiers to identify the language of five-letter words. Included model evaluation, visualization, and performance analysis.
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Built a content-based recommendation engine using machine learning techniques to generate personalized movie suggestions based on metadata, genres, keywords, and similarity scoring.
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Designed and developed an AI-powered document automation workflow that processes unstructured documents using OCR and LLM-based extraction techniques. The system converts scanned PDFs and text-heavy files into clean, structured outputs for easier analysis, validation, and workflow integration. Built with Python and focused on scalable, real-world automation use cases.
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