WEB-BASED EXPENSE TRACKER WITH HANDWRITTEN TEXT RECOGNITION USING TESSERACT OCR

In today's fast-paced and digital-driven world, effectively managing personal finances has become both essential and challenging.The Expense Tracker project offers a comprehensive yet user-friendly web-based solution to help users seamlessly record, monitor, and analyze their expenses.Built using Flask for backend development, Chart.js for interactive data visualization, and Tesseract OCR for text recognition, the platform supports both manual input and handwritten text entry via a digital canvas.This flexibility ensures accessibility and convenience for users with diverse preferences.The system goes beyond basic tracking by categorizing expenses, generating monthly summaries, and providing actionable financial insights through real-time visual analytics.By integrating affordability with innovative features, the Expense Tracker empowers individuals and small businesses to take control of their finances, fostering improved financial literacy and informed decision-making in today's dynamic economic environment.

Publication Details

Journal
International Journal of Progressive Research in Engineering Management and Science
Published
2025-01-27
DOI
https://doi.org/10.58257/ijprems38320
Primary Topic
Handwritten Text Recognition Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

WEB-BASED EXPENSE TRACKER WITH HANDWRITTEN TEXT RECOGNITION USING TESSERACT OCR

International Journal of Progressive Research in Engineering Management and Science
Handwritten Text Recognition Techniques
article

WEB-BASED EXPENSE TRACKER WITH HANDWRITTEN TEXT RECOGNITION USING TESSERACT OCR

article en

Abstract

In today's fast-paced and digital-driven world, effectively managing personal finances has become both essential and challenging.The Expense Tracker project offers a comprehensive yet user-friendly web-based solution to help users seamlessly record, monitor, and analyze their expenses.Built using Flask for backend development, Chart.js for interactive data visualization, and Tesseract OCR for text recognition, the platform supports both manual input and handwritten text entry via a digital canvas.This flexibility ensures accessibility and convenience for users with diverse preferences.The system goes beyond basic tracking by categorizing expenses, generating monthly summaries, and providing actionable financial insights through real-time visual analytics.By integrating affordability with innovative features, the Expense Tracker empowers individuals and small businesses to take control of their finances, fostering improved financial literacy and informed decision-making in today's dynamic economic environment.

International Journal of Progressive Research in Engineering Management and Science
Openalex Percentile: Top 99%
Handwritten Text Recognition Techniques
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