INTL
Freelancer
어려움
외주
원격 가능
AI Expense Manager Web App
예산
$1,250~$2,500 INR
예상 기간
2~4개월
난이도
어려움
기술 스택
React
Vue.js
Svelte
Node.js
Python
Flask
FastAPI
Machine Learning (ML)
SQL
Docker
Git
HTML
CSS
JavaScript
Software Architecture
Web Development
Bootstrap
Spring Boot
AI 분석 요약
AI/ML 기반 자동 비용 분류 웹 애플리케이션 개발 프로젝트입니다. 사용자가 입력한 거래 내역을 인공지능이 자동으로 분류하고, 사용자의 수정 사항을 학습하여 정확도를 높이는 기능이 핵심입니다. 이를 위해 반응형 웹 UI 개발, AI/ML 모델 구현 및 통합, 대시보드 구축 능력이 필요합니다.
프로젝트 원문 설명
I want to build a web-based expense manager that focuses on one crucial ability: automatically placing every transaction into the right category using AI/ML. No mobile clients are needed right now; the entire experience lives in the browser.
Here’s the workflow I have in mind. I type in, paste, or import a bank CSV; the system predicts the category—groceries, rent, travel, etc.—with high accuracy. Whenever I correct a mistake the model should quietly learn, getting smarter the more I use it. A clean dashboard will then let me filter, search, and see totals by category. I do not need budget tracking or receipt scanning in this first release.
The tech stack is open. React, Vue, or Svelte on the front end are all fine, and I’m equally happy with a Python (Flask/FastAPI), Node, or similar back end as long as the ML component integrates smoothly. Feel free to reuse public datasets or lightweight models; what matters is that the pipeline is reproducible and the code is well organised.
Deliverables
• Responsive web UI with secure sign-up / login
• AI/ML service that auto-categorises expenses and updates itself from user corrections
• Dashboard showing per-category totals, search, export to CSV
• Clear documentation and setup script (Docker or similar)
Acceptance criteria
• ≥80 % categorisation accuracy on the supplied test file
• Page loads under 2 s on a standard connection
• Codebase lint-clean with basic unit tests passing
Ship it in a Git repo with instructions and I’ll handle deployment from there.
Here’s the workflow I have in mind. I type in, paste, or import a bank CSV; the system predicts the category—groceries, rent, travel, etc.—with high accuracy. Whenever I correct a mistake the model should quietly learn, getting smarter the more I use it. A clean dashboard will then let me filter, search, and see totals by category. I do not need budget tracking or receipt scanning in this first release.
The tech stack is open. React, Vue, or Svelte on the front end are all fine, and I’m equally happy with a Python (Flask/FastAPI), Node, or similar back end as long as the ML component integrates smoothly. Feel free to reuse public datasets or lightweight models; what matters is that the pipeline is reproducible and the code is well organised.
Deliverables
• Responsive web UI with secure sign-up / login
• AI/ML service that auto-categorises expenses and updates itself from user corrections
• Dashboard showing per-category totals, search, export to CSV
• Clear documentation and setup script (Docker or similar)
Acceptance criteria
• ≥80 % categorisation accuracy on the supplied test file
• Page loads under 2 s on a standard connection
• Codebase lint-clean with basic unit tests passing
Ship it in a Git repo with instructions and I’ll handle deployment from there.
Freelancer에서 원본 확인
원본 보기