Giter Site home page Giter Site logo

language_bot's Introduction

Language_bot

Develop an AI-powered educational chatbot that is capable of answering questions from the Class 12 NCERT (National Council of Educational Research and Training) textbook. The primary objective of the chatbot is to provide accurate answers to user queries directly from the textbook, including page number references, and to recommend related questions from the same chapter and concept.

Key Features and Objectives:

##Textbook Integration: The chatbot should be trained on the Class 12 NCERT textbook for various subjects to extract relevant information. ##Question Answering (QA): The bot should have a robust QA system that can understand and answer a wide range of questions related to the textbook content. Answers should be precise and contextually accurate. ##Page Number Reference: Whenever possible, the bot should provide the page number from the NCERT textbook where the answer can be found. ##Question Recommendation: In addition to answering the user's question, the bot should recommend the top 5 related questions from the same chapter and concept to encourage further learning.

##Natural Language Understanding (NLU): The chatbot should be able to understand natural language queries, including synonyms, paraphrases, and context, to provide relevant answers. ##User Interface: Develop a user-friendly interface, such as a chat window or web application, where users can input their questions. ##Chapter and Concept Mapping: The bot should be capable of identifying the specific chapter and concept to retrieve relevant answers and recommend related questions. ##Scalability: Ensure that the bot can be easily scaled to include content from different subjects and textbooks in the future. ##Accuracy and Reliability: The bot should strive for high accuracy in answering questions and provide reliable references to the textbook. ##User Feedback: Implement a feedback system to continuously improve the bot's performance based on user input.

#Technical Requirements:

Data Collection: Gather and preprocess the textual content of the Class 12 NCERT textbooks for different subjects. Natural Language Processing (NLP): Implement NLP techniques for text analysis, including question understanding and answer generation. Search Mechanism: Develop a search mechanism to locate answers within the textbook and extract page number references. Question Recommendation System: Implement a recommendation system that suggests related questions based on chapter and concept relationships. User Interface: Create a user-friendly interface for users to interact with the bot and receive answers and recommendations. Evaluation Metrics: Establish metrics to measure the accuracy of answers, relevance of question recommendations, and overall user satisfaction.

#Deliverables: Fully functional AI-powered chatbot capable of answering Class 12 NCERT textbook-related questions with page number references. User interface for seamless user interaction. Documentation on how to use the chatbot and maintain it. A plan for continuous improvement based on user feedback.

#Success Criteria:

chieve a high accuracy rate in answering questions. Positive user feedback and engagement. Efficient recommendation of related questions. Scalability to include content from additional textbooks and subjects.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.