Smart Tax Payment Tracking System

Problem

Tax payment tracking is often cumbersome and prone to errors due to the manual handling of records. Organizations and individuals struggle to keep up with multiple due dates, making it difficult to manage payments efficiently. This leads to missed deadlines, penalties, and an overall lack of transparency in tax-related transactions.

Solution

To address these challenges, the Smart-Tax-Payment-Tracking-System was developed as a dynamic web application using the Python Flask framework. This system automates and streamlines the tax payment process by offering the following features:

• Home Page: A user-friendly interface that serves as the entry point for all functionalities.
• Retrieve All Tax Payment Records: Users can view all tax payments along with their due dates, enabling easy tracking of all pending and completed payments.
• Retrieve Records by Due Date: The system allows users to fetch specific tax payment records based on a selected due date.
• Insert New Records: Users can easily add new tax payment records into the system.
• Update Records: Existing tax payment records can be updated to reflect changes or corrections.
• Delete Records: Unnecessary or incorrect records can be deleted from the database, keeping the system clean and up-to-date.

Impact

The Smart-Tax-Payment-Tracking-System significantly improves the efficiency of managing tax payments by:

• Reducing Manual Errors: Automated record handling reduces the risk of human errors in tax payment tracking.
• Enhancing Accessibility: The web application is accessible from any device with an internet connection, making tax management more convenient.
• Improving Organization: By allowing users to update, delete, and retrieve records efficiently, the system ensures that all tax-related data is organized and up-to-date.
• Ensuring Compliance: With easy access to all due dates, the system helps users stay compliant with tax regulations, avoiding penalties.

Technologies Used:

• Language: Python
• Web Development Tools: Flask, HTML, CSS, JavaScript, JQuery
• Database: SQLite

Visuals

Course

• Course: CSIT555 Database Systems

Team Information

• Team Name: Rolex
• Team Members:
  • Shibbir Ahmed Arif
  • Shivaprasad Dubyala
  • Udayteja Reddy Pingili
  • Achyuth Rapolu