Build a Style Finder using Llama, Gen AI & Computer Vision
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Build an AI-powered style finder using Llama, Generative AI, and Computer Vision techniques. Learn how to create a system that can analyze and match styles based on images and user preferences.
At a Glance
Use the Llama 3.2 90B Vision Instruct multimodal model to decode Taylor Swift’s iconic style just in time for Black Friday! With free, state-of-the-art AI tools, you’ll analyze Taylor’s outfits while finding real-time, budget-friendly alternatives using live searches. Perfect for Swifties, AI/ML enthusiasts, and data scientists, this project transforms your shopping experience, helping you re-create Taylor’s looks without breaking the bank. Completely free and completed in just 60 minutes, it’s the ultimate tool for mastering fashion analysis and scoring deals this Black Friday.
- Match the outfit to our curated data set of Taylor’s iconic looks.
- Provide detailed descriptions of the outfit and links to purchase the items.
- Search the internet for visually similar items if no exact match is found.
- Suggest budget-friendly alternatives, helping you look like Taylor without breaking the bank.
Source: DALL-E
What You’ll Achieve
- Gain hands-on experience with Retrieval-Augmented Generation (RAG) and learn how to enhance AI responses with external data sets.
- Master the basics of image-to-vector encoding and visual similarity matching.
- Explore how to integrate APIs like SerpAPI to enhance the functionality of AI-driven applications.
- Build a Swift Style Finder tool that combines multimodal AI, fashion analysis, and real-time search to deliver personalized and engaging results.
- Sharpen your skills in prompt engineering and application development for AI-powered fashion tools.
Who Should Complete This Project?
- Swifties who want to explore Taylor Swift’s iconic style and learn how AI can help recreate her looks with budget-friendly alternatives.
- AI and Machine Learning Enthusiasts looking to explore multimodal AI models and real-world applications of image analysis.
- Data Scientists interested in how AI can analyze and recreate celebrity styles while offering affordable alternatives.
- Students and Beginners in AI who want hands-on experience with large language models, RAG workflows, and prompt engineering.
- Developers and Professionals seeking a practical project to explore how APIs and AI can be combined to build interactive applications.
What You’ll Need
- Basic familiarity with Python programming and libraries like pandas and numpy.
- An understanding of general AI concepts such as vectors, image analysis, and API integration (beginners will also find guidance throughout the project).
- A free account with SerpAPI for querying Google searches (we’ll walk you through setting this up).
- A modern version of web browsers (e.g., Chrome, Firefox, Edge, Safari).
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