ASHA-AI| by DENAI

ASHA AI is an intelligent chatbot designed to provide dynamic and informative responses tailored to users' queries. This chatbot leverages machine learning, a responsive backend, and seamless frontend integration to deliver personalized interactions, whether for career guidance, mentor recommendations, event details, job listing, or general greetings.

Features

• Handles greetings and provides warm responses.
• Suggests jobs, mentors, and upcoming events dynamically.
• Powered by a machine-learning model trained on custom intents.
• Interactive UI for seamless communication with users.

Prerequisites

To run this project successfully, ensure the following are installed on your system:

1. Python 3.8 or above

• Required to run the backend Flask server and ML scripts.

2. pip (Python Package Installer)

• To install project dependencies.

3. npm or Node.js (optional, for advanced frontend setups)

• Not mandatory, but useful for frontend optimizations.

Project Structure

chatbot-app/
├── backend/
│   ├── app.py
│   ├── requirements.txt
│   ├── routes/
│   ├── data/
│   └── __pycache__/
├── frontend/
│   ├── index.html
│   ├── style.css
│   ├── script.js
│   └── assets/

Technology Stack

• Programming Language: Python (Backend), JavaScript (Frontend)

• Frameworks and Libraries:- Flask: Backend server and API handling.

• Flask-CORS: Cross-origin support.

• TensorFlow/Keras: Machine learning for intent classification.

• nltk: Natural Language Processing for tokenization and lemmatization.

• Bootstrap: Responsive and modern UI framework.

• Data Storage: JSON files for static and dynamic data.

• Environment: Compatible with Windows systems, easily deployable locally.

Setup and Installation

1. Clone the Repository Bash git clone https://github.com/your-username/asha-ai-chatbot.git cd asha-ai-chatbot

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

3. Start the Backend Bash Run app.py to launch the Flask server: python app.py

5. Open the Frontend Bash cd path/to/frontend or Open index.html in your browser to access the chatbot UI.

Usage

• Type a message into the chatbox (e.g., "hello" or "help me list some jobs").
• Receive dynamic responses based on the intent detected.

Example Inputs

• Greeting: "hi" or "hello"
• Job Inquiry: "Tell me about available jobs."
• Mentor Inquiry: "Who are the available mentors?"
• Event Inquiry: "What are the upcoming events?"

Future Improvements

• Add more dynamic datasets (e.g., personalized recommendations).
• Implement authentication for personalized user profiles.
• Enhance the UI/UX for a more intuitive experience.