Ai-agents-using-falcon-7-B

📌 Project Overview

This project implements an AI agent using the Falcon-7B model for various NLP tasks. The system is designed to handle input queries, generate responses, and optimize outputs using advanced machine learning techniques. The project also integrates keyboard control for a bot in CoppeliaSim, allowing navigation, balance, and interaction with specific checkpoints and objects.

🚀 Features

• AI agent powered by Falcon-7B
• CoppeliaSim bot control (navigation, pick-and-place, balancing)
• Implementation of LQR/PID for stability
• Interaction with checkpoints and object manipulation
• Command-based execution with penalties and evaluation criteria

🔧 Installation & Setup

Prerequisites

Ensure you have the following installed:

• Python 3.8+
• Virtual Environment (venv)
• CoppeliaSim
• Required Python libraries

Installation

# Clone the repository
git clone https://github.com/yourusername/ai-agent-falcon7B.git
cd ai-agent-falcon7B

# Create a virtual environment
python -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`

# Install dependencies
pip install -r requirements.txt

▶️ Running the Project

1. Running the AI Agent

python ai_agent.py

2. Running the CoppeliaSim Bot Control

python bot_controller.py

3. Running the Pick-and-Place Task

python pick_place_task.py

🕹️ Usage Instructions

• Navigation: Use keyboard inputs to control the bot.
• Pick-and-Place: Follow task 2A guidelines to complete object manipulation.
• Evaluation Rules:
  • Penalties apply for incorrect balance.
  • Time limits for reaching checkpoints.
  • Score based on efficiency and precision.

📂 Folder Structure

ai-agent-falcon7B/
│── ai_agent.py        # Main AI agent script
│── bot_controller.py  # CoppeliaSim bot navigation
│── pick_place_task.py # Pick and place task execution
│── requirements.txt   # Dependencies
│── README.md          # Project documentation

📜 License

This project is licensed under the MIT License. See LICENSE for details.

🙌 Contributing

Contributions are welcome! Fork the repository and submit a pull request.