{"repo":"sugapriya-k/Final-Year-Project","free":true,"listed":false,"github":"https://github.com/sugapriya-k/Final-Year-Project","clone":"git clone https://github.com/sugapriya-k/Final-Year-Project.git","description":"An AI-powered personal finance tracker to manage expenses, predict spending, and plan budgets using machine learning.","language":"HTML","stars":42,"topics":["ai","budget-tracker","data-visualization","final-year-project","ml","personal-finance-manager","python","postgresql","finbert","gradient-boosting-decision-tree"],"license":null,"category":"machine-learning","readme_excerpt":"🎓 Final Year Project: AI-Powered Personal Finance Tracker A Smart, AI-driven platform for modern personal finance management — combining voice input, receipt scanning, machine learning, and predictive analytics to help users take control of their financial future. --- 📘 Abstract In today's fast-paced digital world, many individuals struggle with managing their finances due to the limitations of traditional budgeting tools and manual tracking. Our project — AI-Powered Personal Finance Tracker — presents an intelligent, accessible, and bank-independent solution for effortless financial management. This platform uses cutting-edge technologies like Tesseract OCR for extracting transaction data from receipts, FinBERT NLP for intelligent expense categorization, and supports voice-based transaction logging via the Web Speech API and Stanza . For smarter budgeting and forecasting, it integrates Gradient Boosted Decision Trees , Prophet , and LSTM models . Key modules include Group Expense Management for shared finances, and Celery-based Reminders to notify users about bills. The system is built with a Django backend and a responsive HTML + Tailwind CSS frontend. --- 🚀 Key Features - 🧾 Receipt Scanning: Extract transaction data using Tesseract OCR. - 🗣️ Voice Logging: Add expenses using voice input with Web Speech API and Stanza. - 📊 Smart Categorization: FinBERT classifies expenses into intelligent categories. - 📈 Forecasting Engine: Uses Prophet + LSTM for financial trend pre","default_branch":null,"files":null,"tree":[],"storefront":"/r/sugapriya-k","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/sugapriya-k/Final-Year-Project/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}