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.