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A web app that uses image recognition to solve word puzzles like word searches, crosswords, and Sudoku. Users upload puzzle images, and the app swiftly displays accurate solutions. It's userfriendly, supports multiple puzzle types, and offers downloadable results.

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EnigmaScan: Streamlining Matrix Puzzle Solving Through Image Recognition

Abstract

In a world driven by technology, the timeless fascination with word puzzles like word searches, crosswords, and Sudoku persists. However, manual puzzle-solving can be time-consuming and frustrating. To address this, EnigmaScan is proposed—a web application utilizing image recognition technology to instantly solve and display solutions for uploaded puzzles. This innovative tool aims to simplify and expedite puzzle-solving for users of all levels, enhancing the accessibility and enjoyment of classic pastimes.

1. Introduction

1.1 Problem Description

Despite technology's prevalence, manual solving of word puzzles remains challenging and time-consuming. EnigmaScan addresses this by proposing a web application that leverages image recognition to instantly solve and display puzzle results. The primary goal is to simplify and expedite puzzle-solving for users by employing advanced image recognition algorithms.

Significance:

  • Enhanced User Experience: Immediate and accurate solutions reduce frustration, enhancing the overall puzzle-solving experience.

  • Accessibility: A user-friendly interface caters to a broad audience, including non-tech-savvy users, introducing more people to word puzzles.

2. EnigmaScan

2.1 Versatility of EnigmaScan

EnigmaScan stands out for its comprehensive solution covering various word puzzles—word searches, crosswords, and Sudoku. Key criteria defining its versatility include:

  1. Puzzle Type Support: EnigmaScan excels in solving various word puzzle types, distinguishing it from single-focus tools.

  2. Difficulty Levels: Designed for puzzles of different difficulty levels, appealing to both novices and experienced enthusiasts.

  3. Adaptability: EnigmaScan’s adaptability to different puzzle structures ensures effectiveness across a broad spectrum of challenges.

  4. Unique Features: The application offers downloadable results.

3. Methodology

The methodology involves a user-centric approach, allowing users to upload puzzle images, confirm recognized puzzles, and swiftly generate and display solutions. Key components include:

  • Data Extraction and Character Recognition: Utilizing custom extraction algorithms and Easy OCR for accurate character recognition.

  • Solving Algorithms for Each Puzzle Type: Specialized algorithms for Sudoku, word puzzles, and crosswords.

  • User-Friendly Interface and Interaction: A streamlined, real-time interaction allowing puzzle uploads and result display.

  • Quality Control and Error Handling: Mechanisms to verify accuracy and prompt error correction.

  • Performance Optimization and Scalability: Ensuring optimal performance and scalability for a growing user base.

  • Testing and Feedback Integration: Rigorous testing, user feedback incorporation for usability and reliability.

  • Security and Privacy Measures: Prioritizing security to protect user data and maintain puzzle privacy.

  • Continuous Improvement and Updates: Dynamic processes for ongoing improvement based on emerging advancements.

4. User Interface Design Principles in EnigmaScan

4.1 Cyberpunk Aesthetics and Visual Hierarchy

Neon colors and dynamic glow effects enhance visual appeal and establish visual hierarchy, guiding users through the application seamlessly.

4.2 Dark Theme for Comfortable Interaction

A dark theme minimizes eye strain during prolonged usage, prioritizing user comfort.

4.3 Typography for Readability and Aesthetic Harmony

Carefully selected fonts balance readability and aesthetic harmony, contributing to a cohesive visual identity.

4.4 Layout Simplicity to Reduce Cognitive Load

A streamlined layout minimizes cognitive load, allowing users to focus on puzzle-solving without distractions.

4.5 Gaming-Inspired UI for Enhanced User Satisfaction

Integration of gaming-inspired UI elements provides an enjoyable and visually stimulating puzzle-solving experience.

5. Experiments and Results

An experiment evaluating puzzle-solving algorithms for Sudoku and word search puzzles was conducted. Algorithms were assessed based on accuracy and time efficiency. The chosen algorithms for Sudoku and word search demonstrated high accuracy and efficiency.

5.1 Selection of Algorithm

Dancing Links Algorithm for Sudoku and a custom Grid Search algorithm for word search were chosen based on their high accuracy and efficiency.

Conclusion

EnigmaScan aims to revolutionize puzzle-solving by combining advanced image recognition with user-centric design principles. The proposed web application not only simplifies and expedites the puzzle-solving experience but also contributes to educational value, time savings, and the modernization of classic puzzles.


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A web app that uses image recognition to solve word puzzles like word searches, crosswords, and Sudoku. Users upload puzzle images, and the app swiftly displays accurate solutions. It's userfriendly, supports multiple puzzle types, and offers downloadable results.

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