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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106
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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