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TASK-1: Chatbot Development : This project builds a chatbot using NLP and Logistic Regression to classify user intents and extract entities. It features an interactive interface built with Streamlit, allowing users to input text and receive real-time responses from the chatbot. The model is trained on labeled intents and entities.

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Skill-Eclipse

TASK-1: Chatbot Development :This project is a chatbot built to understand and respond to user inputs based on intents. By utilizing Natural Language Processing (NLP) and a Logistic Regression algorithm, the chatbot can classify intents and extract key entities from the conversation. The chatbot interface is designed using Streamlit, a Python-based framework for building interactive web applications.

Festures

Intent Classification: The chatbot identifies the intent behind user input (e.g., greetings, requests for information). Entity Recognition: It extracts relevant entities or phrases from user inputs to help formulate accurate responses. Streamlit Web Interface: An interactive and user-friendly interface that facilitates direct communication with the chatbot.

Installation

Prerequisites

Ensure that you have Python 3.7+ installed.

Steps

1.Clone the repository: git clone :https://github.com/Kartikey1306/Skill-Eclipse cd Intents-based-Chatbot

2.Install required Python libraries: pip install -r requirements.txt

3.Start the chatbot using Streamlit: streamlit run app.py

About

TASK-1: Chatbot Development : This project builds a chatbot using NLP and Logistic Regression to classify user intents and extract entities. It features an interactive interface built with Streamlit, allowing users to input text and receive real-time responses from the chatbot. The model is trained on labeled intents and entities.

Resources

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Contributing

Security policy

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1 watching

Forks

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