Note:Dont signup the page Just put the username as Rishitha and then put a random password then upload one tax related file i provided here. Then you can finally see the working of this all.And use this file for referrence. This is the link for the pdf file uploaded in google drive. https://drive.google.com/drive/folders/1gRBeCugdNjPmelMt2OuogXL9Ruzwb7vZ

AI-Driven Tax Assistant Project Description AI-Driven Tax Assistant automates tax filing by extracting financial data from PDFs, simplifying tax calculations, identifying deductions, and minimizing errors. It utilizes AI-based Named Entity Recognition (NER) and Google Vision OCR API to extract relevant tax details, perform calculations, and present structured results in an intuitive web interface.

Features AI-powered NER for accurate financial data extraction Google Vision OCR API for enhanced text recognition Automated tax calculations based on extracted values User-friendly web interface with graphs and detailed tax breakdown AI-powered chatbot for answering tax-related queries Tech Stack Backend: Flask (Python) Frontend: HTML, CSS, JavaScript AI & OCR: Google Vision API, Named Entity Recognition (NER) Database: SQLite Deployment: Flask server Installation & Setup Prerequisites Ensure you have the following installed:

Python 3.x pip (Python package manager) Virtual environment Set Up Google Vision API Create a Google Cloud Project. Enable the Google Vision API. Download and set up service account credentials

The Flask app will be available at http://127.0.0.1:5000/. How to Use Upload a tax-related PDF through the web interface. AI extracts Income, Deductions, Tax Paid, and other financial details. System calculates taxable income and final tax liability. Results are displayed in a structured format with graphs. Use the chatbot for tax-related queries. tax-assistant/ │── app.py # Main Flask application
│── static/ # Frontend assets (CSS, JS, Images)
│── templates/ # HTML templates
│── uploads # It contain the pdf that should be considered in this process
│── README.md # Project documentation
Contributing: Rishitha.

(I hope you like these efforts)