Neuro-symbolic reasoning engine for tax optimisation
Pavithran M
Automating tax calculations and optimisation is challenging because modern AI systems such as large language models operate probabilistically, while legal and financial reasoning requires deterministic compliance with statutory rules. This research presents a new approach to automate taxes in India through the Neuro-Symbolic Tax Optimizing Engine (NTOL) that combines the advantages of large language models (LLMs) and a deterministic symbolic reasoning component based on a structured knowledge gr