Published Paper Details:

The complexity and frequent updates of Indian tax regulations often create challenges for young professionals in managing accurate and timely tax compliance[4]. This research presents AI-Tax Advisor, an intelligent web-based system designed to simplify tax computation and planning. Unlike prior studies that explore AI in taxation primarily from a theoretical standpoint[1][2][3], this work demonstrates a fully functional implementation that integrates rule-based reasoning, machine learning models, and human-in-the-loop validation within a Flask framework. The system automatically parses Form 16 documents, computes tax liabilities, and generates detailed PDF reports through an intuitive interface. Experimental results show that the proposed solution achieves over 90% accuracy in data extraction while reducing computation time by nearly 60% compared to manual methods. Furthermore, the advisor offers personalized insights, enabling users to achieve an average 12-15% annual tax savings. This research highlights the practical potential of AI in modernizing and democratizing personal tax management in India.