• Dr. P. Venkateswara Rao
• N. Om Sai Prakash Reddy

This paper Introduces an innovative Finbot into the My Mentor Application, marking a significant advancement in personalized financial management. This Finbot leverages cutting-edge artificial intelligence algorithms to provide users with tailored financial insights, proactive recommendations, and intelligent budgeting strategies. By harnessing the power of AI, the Finbot transforms the way users interact with their finances, empowering them to make informed decisions and achieve their financial goals with confidence. Through seamless integration with the My Mentor Application, the Finbot enhances the user experience by offering personalized financial guidance and support. Users can engage with the Finbot chatbot[5], receiving instant responses to queries, alerts about spending trends, personalized budgeting suggestions, automated Draft Transaction creation and also Goal setting. The Finbot continuously learns from user behaviors and financial data, adapting its recommendations to suit each user's unique financial situation and goals. The goal is to democratize access to personalized financial advice and empower users to take control of their financial futures. By integrating the Finbot into the My Mentor Application, we aim to simplify financial management, enhance user engagement, and foster financial well-being for individuals and businesses alike. Through this initiative, My Mentor App is established as a trusted partner in helping users achieve their financial aspirations.

Finbot, Financial Management, My Mentor, Automation, Artificial Intelligence

"Financial Mentoring using My Mentor – Finbot", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.477-482, June-2024, Available :http://www.jetir.org/papers/JETIRGL06079.pdf

"Financial Mentoring using My Mentor – Finbot", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pp477-482, June-2024, Available at : http://www.jetir.org/papers/JETIRGL06079.pdf