Deep Learning Projects

Welcome to the deep-learning-projects repository! This repository hosts a collection of my deep learning projects, each demonstrating different neural network architectures and applications. Below you’ll find a brief description of each project, along with links to their individual directories.

Projects

Project 1: WebScrapingAI

• Description: WebScrapingAI Bot is an AI-driven application that scrapes web content, processes the text, and enables users to engage in conversational interactions based on the extracted information.
• Techniques Used: BeautifulSoup, text splitting with RecursiveCharacterTextSplitter, vector storage with FAISS, and conversational AI with LLM OpenAI’s GPT-3.5-turbo. It integrates these components to create a conversational agent capable of answering questions about the scraped website content.

Project 2: Facial Recognition

• Description: Brief description of the project.
• Techniques Used: Techniques and neural network architectures used
• Dataset: Description of the dataset used

Project 3: Project Name

• Description: Brief description of the project.
• Techniques Used: Techniques and neural network architectures used
• Dataset: Description of the dataset used