Agentic AI - Daffodil University Multi-Agent System

🔹 Overview

Agentic AI is an intelligent multi-agent system designed for Daffodil International University (DIU) students. It consists of multiple specialized agents to assist with various university-related queries, including:

• Academic Agent: Provides course details, schedules, and university policies.
• Admission Agent: Assists with admission processes, eligibility, and fee details.
• Campus Agent: Offers information about campus facilities and events.
• Routine Agent: Fetches the latest class routine from diuroutine.com.
• Email Agent: Reads and replies to unread emails automatically with a single click.
• OCR Agent: Extracts and summarizes text from images uploaded by users.

This system is built using GROQ API, PhiData, and Streamlit to create an interactive and efficient AI-powered assistant.

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🔹 Features

✅ Multi-Agent System - Dedicated agents for different university-related queries.
✅ Voice Assistant - Dedicated Voice agents for different university-related queries.
✅ Automated Email Handling - Reads unread emails and provides AI-generated replies.
✅ Class Routine Fetcher - Retrieves updated class schedules directly from diuroutine.com.
✅ OCR Processing - Reads and summarizes text from uploaded images.
✅ Streamlit UI - Provides an interactive chat-based interface.

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🔹 Installation Guide

Step 1: Clone the Repository

git clone https://github.com/SHIHAB69/agenticAI-main.git
cd AgenticAI

Step 2: Create a Virtual Environment (Optional but Recommended)

python -m venv venv
source venv/bin/activate   # On macOS/Linux
venv\Scripts\activate      # On Windows

Step 3: Install Required Dependencies

pip install -r requirements.txt

🔹 Install GROQ API

GROQ API is used as the AI model for all agents. Follow the official documentation to set up your API key:
🔗 GROQ Official Docs

🔹 Install PhiData (Agent Framework)

pip install phi

🔗 PhiData Documentation

🔹 Install Streamlit (For UI)

pip install streamlit

🔗 Streamlit Official Docs

Step 4: Set Up Environment Variables

Create a .env file in the root directory and add your credentials:

GROQ_API_KEY=your_groq_api_key
SENDER_EMAIL=your_email@example.com
SENDER_PASSKEY=your_email_app_password

Step 5: Run the Application

streamlit run chatbot.py

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🔹 Usage

1. Open the Streamlit UI and enter your query.
2. Select the appropriate agent (Academic, Admission, Campus, Email, Routine, OCR).
3. View AI-generated responses and interact with the system.

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🔹 Contributors

💡 Developed by: Agentic Solution BD (Sihab, Sameul, Junaed, Izaz) 📍 Affiliation: Data Science Club, Daffodil International University

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🔹 Future Enhancements

🚀 Integration with WhatsApp for chatbot functionality.
🚀 Improved natural language understanding (NLP) for better responses.
🚀 Cloud-based database for conversation history storage.

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🔹 License

This project is open-source under the MIT License.

Feel free to contribute and improve Agentic AI! 🚀