Published on: September 2026
NEUROLYTICS – AI BUSINESS ANALYTICS: A WEB-BASED PLATFORM FOR BUSINESS DATA VISUALIZATION AND SIX-MONTH SALES FORECASTING
Sumalatha G Govardhini S Kanagalakshmi G
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Abstract
Keywords - AI business analytics; sales forecasting; machine learning; Linear Regression; data visualization; Flask.
How to Cite this Paper
G, S., S, G. & G, K. (2026). Neurolytics – AI Business Analytics: A Web-Based Platform for Business Data Visualization and Six-Month Sales Forecasting. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(9), 1-9. https://doi.org/10.55041/ijcope.v2i9.131
G, Sumalatha, et al.. "Neurolytics – AI Business Analytics: A Web-Based Platform for Business Data Visualization and Six-Month Sales Forecasting." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 9, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijcope.v2i9.131.
G, Sumalatha,Govardhini S, and Kanagalakshmi G. "Neurolytics – AI Business Analytics: A Web-Based Platform for Business Data Visualization and Six-Month Sales Forecasting." International Journal of Creative and Open Research in Engineering and Management 02, no. 9 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijcope.v2i9.131.
References
[1] F. Pedregosa et al., “Scikit-learn: Machine learning in Python,” Journal of Machine Learning Research, vol. 12, pp. 2825–2830, 2011.[2] W. McKinney, Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter, 3rd ed. Sebastopol, CA, USA: O’Reilly Media, 2022.
[3] G. James, D. Witten, T. Hastie, R. Tibshirani, and J. Taylor, An Introduction to Statistical Learning with Applications in Python. New York, NY, USA: Springer, 2023.
[4] J. Han, M. Kamber, and J. Pei, Data Mining: Concepts and Techniques, 3rd ed. Waltham, MA, USA: Morgan Kaufmann, 2012.
[5] L. Buitinck et al., “API design for machine learning software: Experiences from the scikit-learn project,” in Proc. ECML PKDD Workshop: Languages for Data Mining and Machine Learning, 2013, pp. 108–122.
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- •Published on: Sep 18 2026
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