Mohammad Hamid Asnawi

Mohammad Hamid Asnawi

AI, Machine Learning, Data Enthusiast!

Portfolio

PDFs to Bot: Empowering Chatbots with Custom PDFs Knowledge Using LLM

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PDFs to Bot is a chatbot question answering application designed to empower users with customized knowledge extracted from uploaded PDF documents. Leveraging the capabilities of free embedding and the LLM from Hugging Face, specifically the instructor text embeddings and the FLAN-T5 LLM model. The user-friendly interface is built using Streamlit, ensuring a seamless and intuitive experience. Powered by the Langchain framework, PDFs to Bot delivers tailored responses and enhances document accessibility, making it a versatile tool for various knowledge-driven applications.

All About Einstein: An LLM-Powered Exploration of Albert Einstein

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All About Einstein is a question-answering application focused on Albert Einstein. Utilizing the knowledge base extracted from the Britannica Albert Einstein encyclopedia, this project employs and the FLAN-T5 LLM model from Hugging Face. The user-friendly interface, designed using Streamlit, and the application’s pipeline is constructed using the Langchain framework, enabling users to pose a wide range of questions related to Albert Einstein’s life and work.

SkinGorithm: know what you need!

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SkinGorithm is an application that helps users in their skincare journey. With this app users can understand more about the skincare function, pros, and cons based on the ingredients, providing a facial skin reviewer that allows user to know their facial condition, alarm feature to remind the users of their skincare daily usage, and the most important thing they can see their progress in their skincare journey!