Develop a Web App to help the spreading of knowledge among children in underdeveloped countries and where there is no availability of teachers. The current prototype of Teacher AI can only speak about a selected topics. A possible second version will be a customization of the lessons (give to the headmaster the possibility to choose and plan the lesson not only weekly). Another improvement can be the ability to self create the subject syllabus (so develop a complete AI-Teacher AI). The Demo link below will show you a mute app, this because there is a problem of compatibility between pyttsx3 and streamlit server.

What is Scrapegraph-ai? Scrapegraph-ai is a tool built to simplify and streamline web scraping by leveraging the power of large language models (LLMs). Key Features: Natural Language Interaction: Instead of complex scraping code, you describe the data you need in everyday language (e.g., "Get me the product titles and prices from this online store"). AI-Powered Extraction: The library uses LLMs to understand your instructions and intelligently figure out how to gather the requested information from websites. OpenAI Integration Leverages OpenAI's language models for understanding your natural language prompts. Langchain Support: Likely utilizes Langchain, a framework that facilitates connections between LLMs and various tools. Benefits: Faster Development: Potentially speeds up web scraping tasks by removing the need to grapple with the intricacies of HTML and CSS selectors. Easier for Beginners: Makes web scraping more accessible for those without deep knowledge of traditional web scraping libraries. Things to Note: Accuracy: LLMs, while powerful, aren't perfect. Results might require error handling and refinement in some cases. Costs: Integrating a service like OpenAI involves API usage costs. Resilience to Website Changes: This type of AI-powered scraper may need more frequent adjustments if the structure of target websites changes.