使用自然语言生成头条、小红书、百家号等文章

This project aims to provide insights into users' mental health states based on their textual statements. By leveraging machine learning and natural language processing techniques, we can predict and analyze mental health statuses to offer valuable support and guidance.

Welcome to the Simple Question Answer ChatBot! This project is a basic chatbot that answers questions based on predefined responses.

Leveraging Langchain for a RAG (Retriever Augmented Generation) project, this implementation enables efficient querying across multiple books, enhancing data retrieval and natural language generation for context-rich answers.

Simple app where you can ask question to your imported PDFs. Chain: PDF->text->chuncks->embeddings->semantic search->question and relevant text chunks are sent to an LLM->answer.

Successfully developed an LLM application that provides AI-powered, structured insights based on user queries. The app features a dynamic response generator with progress indicators, interactive upvote/downvote options, and a clean, engaging user interface built using Streamlit. Ideal for personalized meal, fitness, and health-related advice.

Successfully designed and developed a customer support chatbot that leverages LangChain and Pinecone for efficient retrieval-augmented generation (RAG), enabling intelligent and context-aware responses to user queries.

Just playing with AI Python, ChatOpenAI, AgentExecutor & Retriever tools

Successfully developed an interview preparation guide using Langchain which can effectively guide users in their interview preparation process and job search journeys by providing valuable insights and feedback regarding their performance. It generates a comprehensive list of questions pertaining to a user query as well.

HealthTrackGPT is an AI-Driven Health Management App which is versatile and interactive application designed to assist users in managing their health and fitness. Utilizing the power of Generative AI, the app provides personalized health analyses, meal tracking, and a conversational Q&A feature to address users' health and nutrition-related queries

Successfully developed an LLM application which generates a summary, a list of citations and references and response to a user's query based on the research paper's content.

Successfully developed an interview preparation guide using Langchain which can effectively guide users in their interview preparation process and job search journeys by providing valuable insights and feedback regarding their performance. It generates a comprehensive list of questions pertaining to a user query as well.

LangchainLLM_Chat_Modes is a versatile project demonstrating the integration of Langchain with OpenAI to create various chat modes using large language models (LLMs). Perfect for building conversational agents for customer support, creative writing assistants, educational tutors, and more.

A Simple LLM application with chat models and prompt templates