AnushkaP

About()

Hi! I am Anushka Phogat, a final year Computer Engineering student with a strong command over Data Structures and Algorithms, consistently solving problems on LeetCode to sharpen my analytical and problem-solving abilities. I’m passionate about building efficient, scalable solutions and love challenging myself with complex coding problems.

With a solid foundation in core computer science subjects like Operating Systems, OOPS, Computer Networks, and DBMS, I bring both theoretical understanding and hands-on experience to the table. I'm also exploring the exciting world of Machine Learning and Data Science, working on impactful projects that bridge academic concepts with real-world applications.

I thrive in dynamic environments, enjoy collaborative problem-solving, and am always looking for opportunities to learn, grow, and contribute meaningfully to tech-driven innovations.

430+ LC Qs Solved

20+ Projects Built

1000+ Hours of Hands-on Coding

                                
myLife.js

                                const 
                                passion = 
                                'coding';
                            
                                const 
                                mission = 
                                'solve problems';
                            
                                const 
                                goal = 
                                'make impact';

export const skills

Web Dev & Deployement

HTML, CSS, JS, React.js, MongoDB, Flask

Machine Learning & AI

Transformers, LangChain, sentence-transformers, OpenCV, scikit-learn

Programming Languages

C, C++, Python, JavaScript

Databases & Cloud

MongoDB, Oracle SQL, AWS

Data Analysis & Visualization

pandas, NumPy, Matplotlib, Seaborn, Plotly, Gradio

Developer Tools

Git/GitHub, VS Code, PyCharm, Postman, TestNG, Selenium

renderProjects()

Sorting Algorithm Visualizer

Developed a comprehensive sorting platform featuring 12 algorithms processing 100+ elements at 300+ speed levels, optimized to achieve O(n log n) to O(n + k) complexities, and designed a responsive UI with dark/light themes and step-by-step controls.

C++ React JavaScript Tailwind CSS

LLM-Powered Book Recommendation System

Architected a recommendation engine processing 6,575 books in under 2 seconds per query, achieving 89.5% zero-shot classification accuracy and offering an interactive Gradio dashboard for real-time recommendations and emotion analysis.

Python LangChain Hugging Face Gradio Transformers Chroma

URL Shortener & QR Code Generator

Built a full‑stack URL shortener generating 500+ unique links and QR codes, integrated dark/light theme toggle with 90% positive user feedback, and implemented an authenticated dashboard tracking up to 200 clicks per URL.

React Node.js Express MongoDB Tailwind CSS

SURGE – AI‑Powered AR/VR Surgical Training Platform

Engineered a deep learning system for surgical tool detection (0.72 accuracy) and procedure analysis (0.88 precision) across 4.5M+ annotated frames, orchestrated real‑time scene understanding for 33+ hours of video, and crafted an interactive Unity‑based 3D simulation with Blender models.

Python PyTorch Unity Blender

Weather Dashboard

Developed a responsive weather dashboard fetching real-time conditions and 7-day forecasts for any city via the OpenWeatherMap API.

HTML OpenWeatherMap API CSS JS

ANUSHKA PHOGAT Computer Engineering Student