🧠 Simple AI Text Analyzer

An intelligent offline Android application that performs sentiment analysis, topic classification, keyword extraction, and text summarization using lightweight Natural Language Processing techniques.

100% Offline • Privacy-Focused • No APIs Required

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📖 About The Project

Simple AI Text Analyzer is a lightweight Android application that demonstrates practical Natural Language Processing (NLP) concepts directly on mobile devices.

Unlike many AI-powered applications, all text processing is performed locally on the device without relying on cloud services, external APIs, or internet connectivity.

The application analyzes user input and generates valuable insights such as emotional sentiment, topic categorization, keyword extraction, and concise summaries while maintaining complete user privacy.

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✨ Features

😊 Sentiment Analysis

Detect emotional tone using weighted keyword scoring.

Supported emotions:

• Happy
• Sad
• Angry
• Anxious
• Neutral

📚 Topic Classification

Automatically identify one or more relevant categories:

• Technology
• Education
• Health
• Sports
• Economy
• Entertainment
• Science
• General

🔑 Keyword Extraction

Extract meaningful keywords and important concepts from text.

Supported Languages:

• English
• Persian (Farsi)

✂️ Text Summarization

Generate concise summaries using extractive summarization techniques.

📊 Data Visualization

Visualize emotion distribution using interactive charts powered by MPAndroidChart.

💾 Local History

Store previous analyses using SQLite for quick access and review.

🌙 Modern Android Experience

• Material Design UI
• Dark Mode Support
• Responsive Layout
• Fast Local Processing
• Fully Offline Operation

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🧠 NLP Pipeline

Input Text
    │
    ▼
Keyword Processing
    │
    ├── Sentiment Analysis
    ├── Topic Classification
    ├── Keyword Extraction
    └── Text Summarization
    │
    ▼
Results & Visualization

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🏗 Architecture

MainActivity
│
├── SentimentAnalyzer
├── TopicAnalyzer
├── KeywordExtractor
├── SummaryGenerator
│
├── DatabaseHelper
│
└── HistoryActivity

Core Components

Component	Description
MainActivity	Main user interface
SentimentAnalyzer	Emotion detection engine
TopicAnalyzer	Multi-label topic classifier
KeywordExtractor	Keyword extraction module
SummaryGenerator	Extractive summarization engine
DatabaseHelper	SQLite database manager
HistoryActivity	Analysis history viewer

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🛠 Technology Stack

Technology	Purpose
Java	Application Development
Android SDK	Mobile Platform
SQLite	Local Storage
AndroidX	Android Components
Material Design	User Interface
MPAndroidChart	Data Visualization

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📱 Screenshots

Home Screen

Analysis Results

Dark Theme Screen

History Screen

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🚀 Installation

Clone Repository

git clone https://github.com/DOS-Knight/Simple-AI-Text-Analyzer.git

Run Locally

1. Open Android Studio
2. Select Open Project
3. Choose the cloned repository
4. Wait for Gradle Sync
5. Run on an Android emulator or physical device

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🔒 Privacy

All text analysis is performed locally on the user's device.

No data is:

• Uploaded
• Shared
• Collected
• Tracked
• Sent to external servers

The application works entirely offline.

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🔮 Future Roadmap

• TensorFlow Lite Integration
• Advanced NLP Processing
• Named Entity Recognition (NER)
• Voice Input Support
• Enhanced Summarization Algorithms
• Multi-Language Expansion
• Export & Share Features

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🤝 Contributing

Contributions, suggestions, and improvements are welcome.

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Open a Pull Request

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👨‍💻 Author

DOS-Knight

GitHub: https://github.com/DOS-Knight

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⭐ Support

If you find this project useful, consider starring the repository.

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📄 License

Licensed under the MIT License. See LICENSE for more information.