AILive

Nero Budget

AI-driven financial management and budgeting tool

#Yapli
#Next.js
#Nest.js
#AWS
Nero Budget: AI-driven financial management and budgeting tool, built by Zeeshan Ashraf

#problem

Nero Budget is an AI-driven financial management and budgeting tool that simplifies money management for individuals. It addresses the friction of manual expense entry by capturing spending through OCR-based receipt scanning, and replaces static dashboards with proactive, conversational insights that help users understand and plan their finances.

#what-i-built

01

I architected the full system end-to-end, from the Nest.js backend and APIs through the Next.js frontend to AWS deployment.

02

I designed and built the Nest.js backend services that handle expense tracking, OCR-based receipt capture, and the budgeting data model.

03

I integrated Yapli to power the AI-driven, conversational financial insights layer on top of the user's expense data.

04

I developed the Next.js web application that delivers the budgeting interface and surfaces automated insights to users.

05

I deployed and operated the application on AWS, owning the cloud infrastructure and CI/CD pipeline for the product.

#stack

#Yapli
#Next.js
#Nest.js
#AWS

#outcome

Production AI personal finance platform live at nerobudget.ai: full-stack ownership covering the OCR receipt pipeline, conversational budgeting interface, Yapli AI integration, and AWS deployment.

#key-decisions

01

Chose Yapli for conversational AI to surface budgeting insights in natural language rather than static dashboards, making the product more intuitive for non-technical end users.

02

Built receipt capture on an OCR pipeline to eliminate manual expense entry (the primary friction point for retention in consumer finance apps).

03

Separated expense ingestion, categorization, and insight generation into distinct Nest.js service layers, keeping each domain independently testable and replaceable.

04

Deployed on AWS with a serverless-friendly architecture to keep infrastructure costs proportional to usage at early scale.

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