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ai-chatbot

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LLM_LangChain_ChatBot is a contextual document retrieval chatbot that leverages LangChain to process user queries and generate accurate responses based on the content of retrieved documents. Ideal for applications requiring precise information retrieval and context-aware interactions.

  • Updated Jun 14, 2024
  • Jupyter Notebook

This project is a Q&A chatbot designed for the Global Academy of Technology (GAT), utilizing LLMs, Embeddings, RAG techniques and Prompt Engineering to provide accurate and context-aware responses to user queries about the college.

  • Updated Jun 14, 2024
  • Jupyter Notebook

Developed a sophisticated machine learning model capable of generating diverse interview questions aligned with specific topics, ensuring depth of conversation. Integrated advanced Natural Language Processing (NLP) algorithms to analyse spoken responses, identifying grammatical errors & offering accurate corrections after the interview.

  • Updated Jun 13, 2024
  • Jupyter Notebook

This AI-powered chatbot enhances customer experience by providing instant responses to queries about menu items, special offers, and more. Built with Python, Flask, PyTorch, and NLTK. It integrates deep learning and natural language processing to understand and respond to user queries.

  • Updated Jun 10, 2024
  • Python

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