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Achievements

🎨 Developed an Open-Source Project for Devanagari Script Recognition

  • Goal: Recognize handwritten Devanagari script characters.
  • Tools: MATLAB.
  • Techniques: Custom feature extraction, optimization algorithms.
  • Outcome: High accuracy, robust performance across handwriting styles.

⚡ Automated Cleanup Tasks with Python

  • Purpose: Streamline development environment cleanup.
  • Features: Remove temporary files, organize directories, modular architecture for easy updates.
  • Benefit: Saves time and ensures a clean, efficient workflow.

📖 Built a README Generator for GitHub

  • Function: Automatically generates README files.
  • How It Works: Analyzes codebase, extracts key information, formats structured documents.
  • Impact: Enhanced accessibility, reduced time spent on documentation.

⚙️ Transformed Neovim into a Lightning-Fast IDE

  • Customizations: Lua configurations, carefully selected plugins, custom keyboard mappings.
  • Performance: Opens in milliseconds, optimized for efficiency.
  • Outcome: Lightweight, powerful coding environment.

📊 Presented Research in a Poster Competition

  • Topic: Edge computing optimization techniques.
  • Audience: Technical and non-technical attendees.
  • Feedback: Positive recognition for both content and presentation style.

♟️ Competed in a State-Level Chess Tournament

  • Parallels with Tech: Problem-solving, strategic thinking, and pattern recognition.
  • Result: Improved foresight and planning skills, valuable for AI and algorithm development.