PaySync App
Automating income review for bankruptcy attorneys with AI-powered payroll data extraction & analysis
Project Summary
PaySync is a web-based platform designed to streamline the income review process for consumer Chapter 7 and Chapter 13 bankruptcy cases. By automating payroll data extraction and analysis, it reduces manual effort and enhances accuracy for legal professionals.
Problem & Objective
Bankruptcy attorneys often face time-consuming manual processes when reviewing client income, leading to inefficiencies and potential errors. The objective was to develop a solution that automates this process, ensuring accuracy, saving time, and maintaining data security.
My Role
As the lead developer, I was responsible for designing and implementing the full-stack application, integrating AI-driven data extraction tools, ensuring compliance with data privacy standards, and optimizing the user interface for legal professionals.
Technologies Used
Features
- Resume parsing and text analysis
- GPT-generated content suggestions
- Keyword matching from job descriptions
- PDF resume re-export with improvements
- User account management and history tracking
Results
PaySync significantly reduces the time attorneys spent on income reviews and improves data accuracy, while maintaining client data security. Early adopters reported increased efficiency and a reduction in manual errors.
Challenges
Integrating AI tools for accurate data extraction required extensive testing and refinement. Ensuring compliance with data privacy regulations was paramount, leading to the implementation of strict security protocols and automatic data deletion features.
Preview
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