V3I6P10

A WEB-BASED EXPENSE TRACKER SYSTEM FOR PERSONAL FINANCIAL MANAGEMENT

Dr. Praveen Kumar Shrivastava¹, Dr. Kirti Jain², Riya Rao^3*

Abstract

In the contemporary macroeconomic landscape, individual and micro-enterprise financial optimization demands highly available, deterministic computational architectures capable of processing high-frequency data ingestion loops with strict memory bounds and robust session protection. This research introduces the systematic design and architectural realization of “Expense Tracker”, an advanced, full-stack, enterprise-grade personal finance management framework built on an asynchronous non-blocking event runtime. Transitioning away from legacy storage architectures prone to calculation errors and high network overheads, the proposed deployment builds a decoupled Single Page Interface unified with a NoSQL database cluster via a secure REST gateway. Key technological innovations include custom context-aware verification filters utilizing Passport.js authentication loops, multi-pass iterative cryptanalysis transformations for user parameter protection, an automated file ingestion stream manager using Multer, and a dynamic visual aggregation engine for spend pattern profiling. Empirical stress-testing under high runtime user request concurrency indicates sub-millisecond data synchronization latencies, optimal index traversal inside structural query execution trees, and highly adaptable presentation tier scaling across responsive interface views.

Keywords:

NoSQL Architecture, Asynchronous Event Loop, Personal Finance Engineering, Cryptographic Session Management, Passport.js Guard, RESTful Middleware Pipelines.