victorqribeiro/budget
A simply budget app that predicts where the expenses are being made
Implements K-nearest neighbors (KNN) machine learning to predict expense locations based on temporal features (day of week, hour) and transaction amount. The app operates entirely client-side using browser localStorage for data persistence, with a lightweight JavaScript implementation and multi-language support via JSON configuration files. Designed as a progressive web app installable on mobile devices, though acknowledged as a proof-of-concept with inherent limitations from its educational origins.
106 stars. No commits in the last 6 months.
Stars
106
Forks
11
Language
JavaScript
License
—
Category
Last pushed
Oct 19, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/victorqribeiro/budget"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Fincept-Corporation/FinceptTerminal
FinceptTerminal is a modern finance application offering advanced market analytics, investment...
galojix/bank-transaction-tracker
Web based application for tracking income and expenditure
am-aditya/Artificial-Intelligence-for-Banking
This project contains codes and notebooks related to various use cases for banking.
Prashant-123/XpenseTracker
Smart Expense Manager App
nrajesh/budget-it
A privacy-focused, local-first personal finance app. Track spending, manage budgets, and gain...