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CASE STUDY•03 / 09
FullstackYEAR 2025 ARCHIVEFLAGSHIP SHIPMENTFULLSTACKSUPABASE SSRVERCEL LIVE

AI Expense Tracker: Budget & Spend Intelligence

Autonomous personal finance platform with Supabase SSR, TanStack Query v5, and Recharts.

ENGINEERING SPECIMEN // FIG. 01
AI Expense Tracker: Budget & Spend Intelligence
ROLE & RESPONSIBILITY

Lead Full-Stack Architect

TIMELINE & STATUS

2025 • Active Production

CONTEXT

Personal Finance & Full-Stack Systems

KEY PERFORMANCE METRICS
FRAMEWORKNEXT.JS 16 & REACT 19
BACKENDSUPABASE POSTGRES + RLS
STATETANSTACK QUERY + ZUSTAND
PRODUCTIONVERCEL LIVE
ARCHITECTURAL OVERVIEW & PHILOSOPHY

AI Expense Tracker provides real-time financial observability and automated expense categorization. Architected on Next.js 16 App Router and React 19, the application features Supabase SSR with strict PostgreSQL Row-Level Security (RLS) guaranteeing tenant data isolation. State synchronization is powered by TanStack Query v5 and Zustand for optimistic updates, zero-latency transaction search, interactive monthly spend-velocity charts via Recharts, and dynamic CSV export.

A production full-stack financial intelligence application built with Next.js 16, React 19, Supabase SSR Auth with Row-Level Security, TanStack Query v5, Zustand, and Recharts.

TECHNOLOGY STACK & RUNTIMES
Next.js 16React 19TypeScriptSupabaseTanStack Query v5ZustandRechartsTailwind CSSGSAP
ENGINEERING RATIONALE

CHALLENGE & ARCHITECTURAL SOLUTION

// PROBLEM & BOTTLENECKS

Most budgeting tools suffer from sluggish manual data logging, complex spreadsheet formulas, and privacy concerns regarding confidential financial records stored in unencrypted third-party repositories.

// ENGINEERED SOLUTION

Designed and deployed a responsive Next.js 16 web app backed by Supabase SSR and granular PostgreSQL Row-Level Security policies. Enabled optimistic state mutations with TanStack Query v5 and reactive visual telemetry with Recharts.

SYSTEM DESIGN DEEP DIVE

ARCHITECTURAL BLUEPRINTS

SYSTEM SPEC // 01

PostgreSQL Row-Level Security (RLS) Isolation

Every SQL transaction query executes under strict tenant-level RLS policies (auth.uid() = user_id), preventing data leakage across user boundaries.

SYSTEM SPEC // 02

Optimistic Hydration with TanStack Query v5

New expenses and budget adjustments reflect instantly in the UI while asynchronous network reconciliation guarantees eventual server consistency.

SYSTEM SPEC // 03

Vector-Sharp Analytics with Recharts

Dynamic SVG charts visualize category proportions, savings rates, and burn velocity across customizable time horizons.

FUNCTIONAL SPECIFICATIONS

CORE SYSTEM CAPABILITIES

CAPABILITY // 01

Next.js 16 App Router & React 19 concurrent rendering architecture with TypeScript

CAPABILITY // 02

Supabase SSR authentication with Row-Level Security (RLS) ensuring strict tenant privacy

CAPABILITY // 03

TanStack Query v5 state cache with optimistic mutations and seamless cache revalidation

CAPABILITY // 04

Interactive data visualizations: Monthly burn rate, spend velocity, and category charts with Recharts

CAPABILITY // 05

Real-time expense filtering, multi-column sorting, date range picking, and CSV export

CAPABILITY // 06

Zustand global state management with GSAP micro-interactions and dark/light themes

SCREENSHOT & INTERFACE ARCHIVE // DARK MODE3 PLATES ARCHIVED
AI Expense Tracker: Budget & Spend Intelligence preview plate 01
PLATE // 01
AI Expense Tracker: Budget & Spend Intelligence preview plate 02
PLATE // 02
AI Expense Tracker: Budget & Spend Intelligence preview plate 03
PLATE // 03
EXPLORE ADJACENT ARCHITECTURE
CONTRACT WORK • HIGH-IMPACT ROLES • SYSTEMS COLLABORATIONBENGALURU • GLOBAL REMOTE

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