CodeAlpha — Artificial Intelligence Internship

📌 About

This repository contains the tasks completed as part of the CodeAlpha Artificial Intelligence Internship. Each task is implemented as a standalone Python project, demonstrating practical applications of AI/ML — from NLP to generative models to computer vision.

📂 Repository Structure

codealpha_tasks/
│
├── language_translation_tool/   # NLP-based text translation tool
├── music_ai_project/             # AI-generated music using LSTM
├── object_tracking_ai/           # Real-time object detection & tracking
└── README.md                      # This file

🧩 Tasks Overview

✅ Task 1 — Language Translation Tool

An NLP-based tool that translates text between languages using translation APIs/pre-trained models. Tech: Python, deep-translator/googletrans, (optional) Hugging Face transformers 📁 language_translation_tool/

✅ Task 3 — Music Generation with AI

A generative AI model trained on MIDI data that composes original music using an LSTM neural network. Tech: Python, music21, TensorFlow/Keras 📁 music_ai_project/

✅ Task 4 — Object Detection and Tracking AI

A computer vision system that detects objects in video and tracks them across frames in real time. Tech: Python, OpenCV, YOLOv8, DeepSORT 📁 object_tracking_ai/

🛠️ General Setup

Each task folder is self-contained with its own requirements.txt. To run any task:

git clone <your-repo-link>
cd CodeAlpha_Tasks/<task-folder>
pip install -r requirements.txt
python <main-script>.py

Refer to the individual README inside each task folder for detailed instructions, usage examples, and project structure.

🎯 Internship Goals

• Apply core AI/ML concepts to real-world problems
• Gain hands-on experience with NLP, generative models, and computer vision
• Build clean, well-documented, and reproducible projects

🙌 Acknowledgment

These projects were developed as part of the CodeAlpha Internship Program.

📄 License

This repository is open-source and available for educational use.