Thilak Ram

Full-Stack Developer

Chennai Institute of Technologyfull_time, internship, freelanceOpen to roles

2 projects1 challenge entry

C++PythonJavaHTML

Challenge entry · Student Expense Tracker by Retrod Travel Tech

Student Expense Tracker - Money AI

This lightweight Student Expense Tracker has been built entirely using Python's standard library to guarantee clean, zero-dependency execution across any environment. In strict adherence to the project guidelines, no external database or heavy web frameworks (like Django or Flask) are used; instead, all transactions are managed dynamically in-memory using standard lists and dictionaries. To allow for immediate testing and evaluation, the application comes preloaded with three sample student expenses (Canteen Lunch, Monthly Bus Pass, and Reference Books). Reviewers can execute main.py directly from the terminal to view a formatted ledger, review automatic budget warnings, analyze spending categories, and add new transactions. All calculations and budget health thresholds update in real-time. Using the AI Student Expense Tracker offers several key benefits tailored specifically to the financial realities of college life: First and foremost, it instills strong financial discipline by keeping your monthly budget limit front and center, preventing accidental overspending before the month ends. By dividing your expenses into clear categories like Academics, Food, Transit, and Entertainment, you instantly see where your pocket money is actually going, helping you cut down on unnecessary impulses. The built-in budget health indicator acts as a personal financial guardian, proactively sending you warning alerts the moment your spending crosses 80% of your threshold. Finally, having an organized, clutter-free transaction ledger means no more guessing games at the end of the semester; you have a completely transparent, easy-to-read record of your habits that helps you make stress-free, smarter money decisions every day. Thank You.

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Project

QueueCure Pro

Reduced patient waiting uncertainty through AI-driven queue prediction and live hospital queue tracking.

3 media files · queuecure-pro-647289646074.asia-southeast1.run.appView

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