Multi-Language Lexical Analyzer & Visualizer

An advanced lexical analyzer and visualizer with a modern GUI. Supports Python, JavaScript, Java, and C++. Features tokenization, syntax and semantic analysis, AST and parse tree visualization, token frequency charts, and optional AI-powered code tools.

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Table of Contents

• Features
• Topics
• Requirements
• Installation
• Usage
• Screenshots
• Troubleshooting
• Team & Contact
• License
• Acknowledgments
• Roadmap
• Useful Resources

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Features

• Multi-Language Support: Analyze code in Python, JavaScript, Java, and C++.
• Lexical Analysis: Tokenization with error detection and classification.
• Syntax & Semantic Analysis: Detects syntax and semantic issues specific to each language.
• AST & Parse Tree Visualization: Interactive visualization of code structure.
• Token Frequency Charts: Visual analysis of token distribution.
• LALR(1) Parsing Table Generation: For advanced parsing and educational use.
• AI/ML Integration: Optional code suggestions and error prediction using machine learning.
• Modern GUI: CustomTkinter interface with theme and font customization.
• Export Options: Save analysis results and visualizations.

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Topics

• Lexical analysis
• Syntax analysis
• Semantic analysis
• Multi-language code parsing (Python, JavaScript, Java, C++)
• Tokenization
• AST & parse tree visualization
• Token frequency analysis & charts
• LALR(1) parsing table generation
• AI/ML-based code suggestions and error prediction (optional)
• GUI development with CustomTkinter
• Theme and font customization
• Real-time analysis
• Exporting analysis results and visualizations

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Requirements

• Python 3.8+
• pip
• CustomTkinter
• matplotlib
• NetworkX
• (Optional) torch, transformers

See installation notes for more details.

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Installation

1. Clone the repository:

git clone https://github.com/Harshitjasuja/Lexical-Analyzer.git
cd lexical-analyzer

2. Install dependencies:

pip install -r requirements.txt

3. Run the application:

python main.py

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Usage

• Launch the application.
• Select the programming language.
• Paste or load your source code.
• Click "Analyze" to view tokens, analysis, AST, parse trees, and charts.
• Use export options to save your results.

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Screenshots

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Troubleshooting

• If you encounter issues with GUI rendering, ensure all dependencies are installed and your Python version is compatible.
• For AI features, verify that torch and transformers are installed.
• For more help, open an issue or check the Useful Resources.

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Team & Contact

• Team Architechs

• Harshit Jasuja (Team Lead & System Architect)

  • [harshitjasuja70@gmail.com]

• Yashika Dixit (UI/UX Designer)

  • [yashikadixit1611@gmail.com]

• Shivendra Srivastava (Performance Engineer & QA Lead)

  • [shivendrasri999@gmail.com]

• For support, feature requests, or collaboration:

• Email: harshitjasuja70@gmail.com

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License

• This project is developed as an academic project by the Architechs Team for SE(CD)-VI-T155. All rights reserved.
• For collaboration, feature requests, or partnership opportunities, please contact the development team.
• © Team Architechs

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Acknowledgments

• Built for compiler design and code analysis education.
• Inspired by modern compiler construction and software engineering practices.

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Roadmap

• Multi-language lexical analysis
• Syntax and semantic analysis
• AST and parse tree visualization
• Token frequency charts
• Expand language support (e.g., Go, Rust)
• Enhanced AI/ML code suggestion features
• Web-based interface
• Plugin system for custom analyzers

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Useful Resources

• CustomTkinter Documentation
• matplotlib Documentation
• NetworkX Documentation
• Python Official Documentation

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