Grod LLM Chatbot Suite

This project is a collection of AI-powered chatbots built using the Grod LLM, with Python for backend processing and Streamlit for the frontend interface. The chatbots are designed to assist users in various domains, offering seamless interactions and intelligent responses.

🚀 Features

AI-powered chatbots using Grod LLM

Intuitive frontend built with Streamlit

Real-time interactions and intelligent responses

Modular architecture for easy expansion

Secure and scalable backend

📌 Applications

1️⃣ CollegeAssist

A chatbot designed to help students with academic queries, course information, and campus-related assistance.

2️⃣ DepoMaster

An AI assistant for managing warehouse and inventory operations, optimizing logistics, and tracking stock levels.

3️⃣ StationMaster

A chatbot tailored for railway station inquiries, providing train schedules, platform details, and ticket booking guidance.

4️⃣ ChatCenter

A general-purpose chatbot that facilitates discussions, FAQs, and customer support for various domains.

🛠️ Installation & Setup

Prerequisites

Ensure you have the following installed:

Python 3.8+

pip

Streamlit

Grod LLM API access

Steps to Run the Project

Clone the repository:

Install dependencies:

Set up environment variables for Grod LLM API keys.

Run the chatbot application: