Chatbot Assistant using Python
The rapid growth of digital documents has necessitated efficient tools for document management and reading. This paper introduces a novel PDF reader chatbot application designed to improve the user experience and interaction with PDF documents. The chatbot leverages natural language processing (NLP) and machine learning techniques to enable users to interact with PDF documents through conversational interfaces. The proposed PDF reader chatbot aims to streamline document retrieval, comprehension, and navigation, ultimately improving productivity and accessibility for users in various domains. The primary objective of this study is to develop an innovative PDF reader chatbot application that leverages natural language processing (NLP) and machine learning techniques to enhance user interaction with PDF documents.
Chat with PDF System using Python Programming, in this system we are using Fast Api and for chatbot Lang Chain is used. Chroma DB is used for storing data it is vector database. This system also generates the secret key that is used for encrypt the session and cookies. It also required Ollama we are using Lama2 model i.e. large language model using for core model it is pretrained model. User have to gave input pdf to website and model will preprocess it and user can ask their questions and chatbot will reply of queries.
AI based Virtual Assistant Chatbot using Artificial Intelligence
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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