ASTRAFIN:- AI Financial Agent

The proliferation of digital financial services has created a fragmented and insecure data landscape, overwhelming individuals seeking to manage their financial health. Traditional cloud-based personal finance tools require users to surrender sensitive data, posing significant privacy risks. This paper introduces ASTRAFIN, a secure, local-first AI agent designed for autonomous financial health analysis. ASTRAFIN leverages on-device Natural Language Processing (NLP) models to parse and extract data from varied sources, including PDF bank statements and UPI SMS, ensuring sensitive information never leaves the user’s device. We detail the system’s core, a multi-tool AI agent built on the ReAct (Reasoning and Acting) framework, which autonomously reasons about the user’s financial state. This agent orchestrates a suite of integrated tools for automated transaction categorization, predictive budget tracking, and web-based deal discovery. A key innovation is the implementation of a stateful memory system using a local vector database, enabling the agent to maintain long-term context and provide personalized, longitudinal analysis. By integrating Python-based ML models, advanced NLP concepts, and secure API integration, ASTRAFIN provides a privacy-centric, intelligent, and autonomous solution to empower individuals in managing their financial well-being.