AI-Powered Chatbot

Hira Saleem

Completed work

Backend Engineer

Frontend Engineer

Fullstack Engineer

CSS

ExpressJS

OpenAI

Information Technology

AI-Powered Chatbot

The AI-Powered Chatbot is a smart conversational assistant built using AI and NLP technologies. It allows users to engage in natural language conversations, answer queries, and provide assistance efficiently.

Features

Natural Language Processing (NLP) – Understands and responds intelligently to user queries.

Pre-trained AI Model – Utilizes machine learning to improve responses.

Customizable Responses – Fine-tune responses based on specific use cases.

Interactive UI – User-friendly chat interface.

API Integration – Can be integrated with third-party applications.

Technologies Used

Python – Backend logic and AI processing.

Flask/Django – Web framework for chatbot deployment.

TensorFlow/PyTorch – AI model training and inference.

NLTK/spaCy – Natural language processing.

React.js/HTML/CSS – Frontend development.

Project Structure

AI-Powered-Chatbot/
├── chatbot/          # Core chatbot logic
├── static/           # CSS, JavaScript files
├── templates/        # HTML templates
├── models/           # Pre-trained AI models
├── app.py            # Flask/Django application entry point
├── requirements.txt  # Project dependencies
├── README.md         # Project documentation

Getting Started

Follow these steps to set up the project locally:

1. Clone the Repository

git clone https://github.com/HSk2703/AI-Powered-Chatbot.git
cd AI-Powered-Chatbot

2. Create and Activate a Virtual Environment

python -m venv env

On Windows:

env\Scripts\activate

On macOS/Linux:

source env/bin/activate

3. Install Dependencies

pip install -r requirements.txt

4. Run the Chatbot Application

python app.py

5. Access the Chatbot Interface

Open your browser and navigate to:

👉 http://127.0.0.1:5000/ (Flask) or http://127.0.0.1:8000/ (Django)

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Completed work

Posted Nov 16, 2024

The AI-powered chatbot is built using AI + NLP. It allows users to engage in natural language conversations, answer queries, and provide assistance seamlessly.

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Backend Engineer

Frontend Engineer

Fullstack Engineer