💻 CSE Undergraduate Student (2023–2027 Batch)
🎓 GATE 2026 Qualified
🚀 Passionate about Software Development, DSA, React, AI/ML, and Problem Solving

• C++
• JavaScript
• Python

• React.js
• HTML
• CSS
• Vite

• Pandas
• Matplotlib
• Scikit-learn

• Data Structures & Algorithms
• OOPs
• Problem Solving

React-based expense splitting application inspired by Splitwise.
Helps users manage shared expenses, track balances, and calculate settlements between friends or groups.

• Add shared expenses
• Split expenses between users
• Real-time balance calculation
• Settlement tracking
• Responsive UI

React.js • JavaScript • Vite • CSS

🔗 Live Demo:
https://expense-splitter-three-lovat.vercel.app/

🔗 Repository:
https://github.com/ayushkhetan-dev/Expense-Splitter

Python-based personal finance tracker that takes user expense input, analyzes spending patterns, generates graphs, gives budget warnings, and predicts future spending using Linear Regression.

• Expense tracking
• Spending analysis
• Graph generation
• Budget warning system
• Spending prediction using ML

Python • Pandas • Matplotlib • Scikit-learn • CSV

🔗 Repository:
https://github.com/ayushkhetan-dev/AI-Personal-Finance-Tracker

• Advanced Data Structures & Algorithms
• System Design Basics
• React Optimization
• Backend Development
• Machine Learning Fundamentals

• Secure a Software Engineering Internship
• Build scalable real-world applications
• Improve problem-solving and development skills
• Contribute consistently to GitHub and open-source projects

Currently solving DSA problems daily and building consistency in:

• Arrays
• Strings
• Linked Lists
• Trees
• Graphs
• Dynamic Programming

Upcoming Repository:
🔗 DSA-Journey

⭐ Always learning, always building.