💻 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.