L2 ISA Tech Fest

Table of Contents

• Overview
• Features
• Project Structure
• Installation
• Configuration
• Usage
• AI Model Integration
• Contributing
• License
• Contact
• Acknowledgments

Overview

This repository hosts the code behind Level 2 of the Tech Fest organized by the IntellexAI Student Association (ISA). It represents an amalgamation of innovative ideas, AI integration, and technical challenges aimed at pushing the boundaries of creative and technological problem solving. This project is written in Python and leverages modular design principles, ensuring clarity and ease of collaboration.

Features

• AI-Powered Modules: Contains an AI model component to drive intelligent features.
• Modular Configuration: Easy-to-edit configuration files to adapt the project to various environments.
• Dynamic Web Pages: A dedicated pages directory that can be extended for interactive web-based components.
• Clean Code Structure: Organized directories (ai_model, config, pages) for better maintainability.
• MIT Licensed: Free to use, modify, and distribute under the terms of the MIT license.

Project Structure

L2-ISA-Tech-Fest/
├── ai_model/         # Contains AI model files and utilities
├── config/           # Configuration files for different environments
├── pages/            # Web pages or UI components for the project
├── main.py           # Main entry point of the application
├── requirements.txt  # Python dependencies
├── .gitignore        # Git ignore file
└── LICENSE           # MIT License file

Directory Details

• ai_model/:
  Houses the core AI components. This may include training scripts, model architectures, and utility functions necessary for processing and predictions.

• config/:
  Contains configuration files to fine-tune settings such as environment variables, model parameters, and runtime options.

• pages/:
  Hosts the web-based interfaces or static pages that can be integrated with the backend. Modify or add new pages as the project evolves.

• main.py:
  The primary entry point that ties together various modules. Running this file initiates the application.

Installation

Prerequisites

• Python 3.8+ is required.
• pip for managing dependencies.
• Virtual environment tool (optional but recommended) such as venv or virtualenv.

Steps

1. Clone the repository:

   git clone https://github.com/LordZeusIsBack/L2-ISA-Tech-Fest.git
   cd L2-ISA-Tech-Fest

2. Create a virtual environment (optional but recommended):

   python3 -m venv venv
   source venv/bin/activate   # On Windows use: venv\Scripts\activate

3. Install the dependencies:

   pip install -r requirements.txt

Configuration

Before running the application, ensure that you review and update the configuration settings to match your environment.

• Configuration Files:
  The config/ directory includes files that control how the application runs. Update these files to set parameters like API keys, model configurations, or other environment-specific variables.

• Environment Variables:
  If your project depends on specific environment variables, set them in your shell or in a .env file as per your deployment needs.

Usage

To launch the project, execute the main entry script:

python main.py

This command will start the application, initialize the AI model, load configurations, and render the necessary pages. Logs and outputs will appear in the console, and further instructions might be printed depending on the runtime behavior.

AI Model Integration

The ai_model/ directory contains scripts and modules that handle the AI logic:

• Model Loading: The code initializes and loads pre-trained models.
• Data Processing: Preprocessing scripts to handle input data for the AI model.
• Prediction & Inference: Functions that use the AI model to generate results and insights.

Make sure that any updates to the AI component are reflected in both the model scripts and in the integration points in main.py.

Contributing

Contributions are welcome! If you wish to contribute, please follow these guidelines:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Commit your changes with clear messages.
4. Submit a pull request detailing your modifications and why they improve the project.

License

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

Contact

For any inquiries, suggestions, or issues, please contact:

• Anubhav Sharma – Project Owner
  Email: anubhavsharma5645@gmail.com
• IntellexAI Student Association (ISA)
  ISA Website

Acknowledgments

• Special thanks to all the participants and organizers of the Tech Fest.
• Gratitude to the contributors and the ISA community for their ongoing support.
• Inspired by modern development practices and open source community contributions.