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@article{202423,
        author = {Aniket P Kharode and Siddhesh Thigale and Atharva Kankale and Ruturaj Kadam and Prof. Swati B. Dhadake},
        title = {FINPROAI -AI BASED FINANCE LEARNING PLATFORM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {7661-7665},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202423},
        abstract = {FinProAI is an AI-driven platform designed to revolutionize finance education by providing personalized, adaptive learning experiences. Leveraging advanced Natural Language Processing (NLP) models and Large Language Models (LLMs), FinProAI offers real-time content summarization, interactive quiz generation, and text-to-speech conversion to enhance accessibility and engagement. The system integrates LLMs for summarization, Tacotron 2 for natural-sounding speech synthesis, and Haystack for intelligent question-answering. By understanding user queries and adapting responses based on individual learning levels, FinProAI creates a dynamic, interactive tutoring experience. This approach addresses the challenges of overwhelming financial information, lack of personalized resources, and limited adaptability in traditional learning methods. Through multimodal content delivery—text, audio, and interactive quizzes—the platform improves knowledge retention, making finance education more efficient and engaging.},
        keywords = {Finance Education, AI-driven Learning, NLP, Large Language Models, Personalized Learning, Content Summarization, Question-Answering, Text-to-Speech, Adaptive Tutoring, Haystack, LLM, Tacotron 2, Interactive Learning, Financial Literacy},
        month = {May},
        }