CodSoft Artificial Intelligence Internship Projects

Welcome to my CodSoft Artificial Intelligence Internship repository! This repository hosts a collection of practical AI implementations completed during the internship program. It contains five tasks, all featuring robust Python backend engines and interactive, responsive web-based user interfaces.

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📂 Repository Structure

The repository is organized into distinct directories for each task:

CODSOFT/
├── Task1_Chatbot/              # Task 1: Rule-Based Chatbot with Personalities
│   ├── web/                    # Chatbot Web GUI (HTML, CSS, JS)
│   ├── chatbot.py              # Rule-Based Dialog Manager Engine
│   ├── main.py                 # Chatbot launcher (Console + Web)
│   └── test_chatbot.py         # Chatbot unit tests
│
├── Task2_TicTacToe/            # Task 2: Unbeatable Tic-Tac-Toe AI Game
│   ├── web/                    # Game Web GUI (HTML, CSS, JS)
│   ├── game.py                 # Minimax with Alpha-Beta Pruning Logic
│   ├── main.py                 # Game launcher (Console + Web)
│   └── test_game.py            # Game unit tests
│
├── Task3_ImageCaptioning/      # Task 3: Image Captioning AI Dashboard
│   ├── web/                    # Dashboard Web GUI (HTML, CSS, JS)
│   ├── caption_engine.py       # Simulated CNN Feature & LSTM Trace Engine
│   ├── main.py                 # Captioner launcher (Console + Web)
│   └── test_caption.py         # Captioner unit tests
│
├── Task4_RecommendationSystem/ # Task 4: Content & Collaborative Recommender
│   ├── web/                    # Dashboard Web GUI (HTML, CSS, JS)
│   ├── recommend.py            # TF-IDF, Cosine Similarity & Pearson CF Math
│   ├── main.py                 # Recommender launcher (Console + Web)
│   └── test_recommend.py       # Recommender unit tests
│
└── Task5_FaceDetection/        # Task 5: Face Detection & Recognition Profile Manager
    ├── web/                    # Live Scanner Web GUI (HTML, CSS, JS)
    ├── face_engine.py          # OpenCV Haar Cascades + Cosine Similarity matching
    ├── main.py                 # FaceID launcher (Console + Web)
    └── test_face.py            # FaceID unit tests

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📖 Tasks Overview

Task	Project Name	AI & Algorithm Core	Key Web GUI Features
Task 1	Multi-Personality Chatbot	Stateful dialog manager & Regex parsing	Glassmorphism chat bubble interface, 4 voice modes
Task 2	Unbeatable Tic-Tac-Toe	Minimax Algorithm + Alpha-Beta Pruning	Neon dark mode grid, real-time difficulty selectors
Task 3	Image Captioning AI	Client-side Transformers.js (BLIP/ViT-GPT2) + CNN-LSTM simulator	Drag-and-drop file upload, CNN filter layer viewer, LSTM step trace
Task 4	Recommendation System	TF-IDF Cosine Similarity & Pearson User Correlation from scratch	Dynamic rating sliders, TF-IDF weights overlap math table, peer similarity graph
Task 5	Face Detection & Recognition	OpenCV Haar Cascades & Facial Grayscale Descriptor match	HTML5 webcam live capture, scan overlay sweep, crops grid, save name modal

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🛠️ Global Requirements & Setup

This repository uses Python 3 and minimal, lightweight dependencies. No heavy machine learning frameworks (like PyTorch or TensorFlow) are required locally!

Installation

Install dependencies (OpenCV and NumPy) using pip:

pip install -r requirements.txt

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📦 How to Run the Projects

Each project supports two execution modes: Web Mode (which hosts a local server and automatically opens a browser GUI) and Console Mode (which runs directly in the terminal).

🤖 Run Task 1: Chatbot

cd Task1_Chatbot
python main.py             # Web Mode (Default)
python main.py --console   # Console Mode

❌ Run Task 2: Tic-Tac-Toe AI

cd Task2_TicTacToe
python main.py             # Web Mode (Default)
python main.py --console   # Console Mode

👁️‍🗨️ Run Task 3: Image Captioning AI

cd Task3_ImageCaptioning
python main.py             # Web Mode (Default)
python main.py --console   # Console Mode

🎯 Run Task 4: Recommendation System

cd Task4_RecommendationSystem
python main.py             # Web Mode (Default)
python main.py --console   # Console Mode

👤 Run Task 5: Face Detection & Recognition

cd Task5_FaceDetection
python main.py             # Web Mode (Default)
python main.py --console   # Console Mode

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🧪 Testing Suite

You can validate the backend algorithms by running unit tests in their respective directories:

• Task 1: python Task1_Chatbot/test_chatbot.py
• Task 2: python Task2_TicTacToe/test_game.py
• Task 3: python Task3_ImageCaptioning/test_caption.py
• Task 4: python Task4_RecommendationSystem/test_recommend.py
• Task 5: python Task5_FaceDetection/test_face.py