Revolutionizing Online Shopping: Real-Time AI Agent in Python
- Authors
- Published on
- Published on
In this riveting video from NeuralNine, brace yourselves as they embark on a thrilling journey to construct a real-time e-commerce AI agent using Python. No outdated data or Kaggle sets here, folks. We're talking about real-time web information at your fingertips. Picture this: you specify your product preferences, like monitors under a certain price or GPUs with a specific VRAM, and let the AI agent loose on multiple platforms to scrape up-to-date details on prices, ratings, and more. It's like having your own personal shopping assistant working tirelessly in the digital realm.
The end result? A sleek Flask application that serves as the interface for this cutting-edge e-commerce agent. Want to customize it further? Go ahead and add more features, filters, and checkboxes to enhance your shopping experience. But at its core, it's all about sending a prompt to the agent, specifying your preferences, and letting it do the heavy lifting of scouring the web for products that match your criteria. With a powerful language model like GPT40 running the show behind the scenes, coupled with specialized tools for web scraping, you're in for a shopping experience like never before.
But hold on to your seats, because the magic doesn't stop there. NeuralNine delves into the nitty-gritty of the architecture, showcasing an AI agent armed with GPT40 intelligence and a toolbox of web-scraping instruments. By sending requests to these tools and engaging in a dynamic exchange of information with the language model, the agent churns out structured output in the form of JSON, presenting you with a neatly organized list of product recommendations. And guess what? Bright Data's tools come into play for real-time web scraping, ensuring you get the most current and relevant information from the vast expanse of the internet.
To bring this technological marvel to life, users are urged to secure API keys for both OpenAI and Bright Data, essential components for setting up the environment file. This file acts as the backbone of the operation, housing crucial keys and variables needed for the AI agent to function seamlessly. And the best part? Wrapping your agent with LangChain and LangGraph transforms the complex process into a user-friendly application, with Flask providing the perfect platform for a seamless user experience. So, gear up, get those API keys ready, and prepare to witness the fusion of AI prowess and real-time web scraping in this exhilarating tutorial from NeuralNine.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Watch E-Commerce AI Agent in Python - Full Tutorial on Youtube
Viewer Reactions for E-Commerce AI Agent in Python - Full Tutorial
Request for a learning path for generative AI and agentic AI
Suggestion to make ollama locally run with livekit voice agent
Inquiry about dockerizing MCP tools with client
User asking if the tool has worked for anyone
Positive feedback on the video's content
Related Articles
Building Crypto Tracking Tool: Python FastAPI Backend & React Frontend Guide
NeuralNine crafts a cutting-edge project from scratch, blending a Python backend with fast API and a React TypeScript frontend for a crypto tracking tool. The video guides viewers through setting up the backend, defining database schema models, creating Pydantic schemas, and establishing crucial API endpoints. With meticulous attention to detail and a focus on user-friendly coding practices, NeuralNine ensures a seamless and innovative development process.
Optimizing Neural Networks: LoRA Method for Efficient Model Fine-Tuning
Discover LoRA, a groundbreaking technique by NeuralNine for fine-tuning large language models. Learn how LoRA optimizes neural networks efficiently, reducing resources and training time. Implement LoRA in Python for streamlined model adaptation, even with limited GPU resources.
Mastering AWS Bedrock: Streamlined Integration for Python AI
Learn how to integrate AWS Bedrock for generative AI in Python effortlessly. Discover the benefits of pay-per-use models and streamlined setup processes for seamless AI application development.
Unveiling Google's Alpha Evolve: Revolutionizing AI Technology
Explore Google's Alpha Evolve, a game-changing coding agent revolutionizing matrix multiplication and hardware design. Uncover the power of evolutionary algorithms and automatic evaluation functions driving innovation in AI technology.