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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 8

Published on: August 2026

RAITHU SAHAYAK: AN AI POWERED VOICE DRIVEN INTELLIGENT FINANCIAL ASSISTANT FOR REGIONAL LANGUAGE FARMERS.

M.Sowmya N.Harshitha V.Jishnavi T.Bhargavi B.Lohitha

Department of Computer Science and Engineering, Rajiv Gandhi University of Knowledge Technologies(RGUKT),Ongole,AndhraPradesh, India

Article Status

Plagiarism Passed Peer Reviewed Open Access

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Abstract

The proposed Raithu Sahayak system presents a voice-driven AI-based approach for assisting farmers with agricultural financial calculations. Traditional financial systems often require manual data entry and familiarity with digital interfaces, which can create difficulties for users with limited digital literacy.

Raithu Sahayak addresses these limitations by allowing users to provide financial information through voice. The system uses speech recognition and text processing to identify relevant numerical information and performs calculations such as total cost, total income, and profit.

The integration of regional-language interaction and text-to-speech output makes the system more accessible and user-friendly. The currency breakdown feature further helps users understand financial results in a practical manner.

Overall, Raithu Sahayak demonstrates how voice-based AI can be used to simplify financial calculations and improve digital accessibility for farmers. Future enhancements can extend the system with additional regional languages, agricultural advisory services, real-time market information, and more advanced natural-language understanding.

How to Cite this Paper

M.Sowmya, , N.Harshitha, , V.Jishnavi, , T.Bhargavi, & B.Lohitha, (2026). Raithu Sahayak: An AI Powered Voice Driven Intelligent Financial Assistant for Regional Language Farmers.. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(8), 1-9. https://doi.org/10.55041/ijcope.v2i8.284

M.Sowmya, , et al.. "Raithu Sahayak: An AI Powered Voice Driven Intelligent Financial Assistant for Regional Language Farmers.." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 8, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijcope.v2i8.284.

M.Sowmya, , N.Harshitha, V.Jishnavi, T.Bhargavi, and B.Lohitha. "Raithu Sahayak: An AI Powered Voice Driven Intelligent Financial Assistant for Regional Language Farmers.." International Journal of Creative and Open Research in Engineering and Management 02, no. 8 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijcope.v2i8.284.

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References

[1] A. Radford et al., “Robust Speech Recognition via Large-Scale Weak Supervision,” in Proceedings of the 40th International Conference on Machine Learning (ICML), 2023.

[2] C. D. Manning, P. Raghavan, and H. Schütze, Introduction to Information Retrieval. Cambridge, U.K.: Cambridge University Press, 2008.

[3] D. Jurafsky and J. H. Martin, Speech and Language Processing, 3rd ed., draft, 2024.

[4] W. McKinney, Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter, 3rd ed. Sebastopol, CA, USA: O’Reilly Media, 2022.

[5] M. Grinberg, Flask Web Development: Developing Web Applications with Python, 2nd ed. Sebastopol, CA, USA: O’Reilly Media, 2018.

[6] Mozilla Developer Network, “Web Speech API,” Mozilla Developer Network.

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: Sep 01 2026
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