• Nhavin Purushothaman D
• Ramachandiran R
• Rakesh Kumar D
• Sri Raja Rajeswaran E

Within the realm of film industry revenue prediction, there exists a noticeable scarcity of research specifically tailored to the Tamil film industry, notably Kollywood. Recognizing this gap, our study endeavors to introduce a bespoke approach to Box-Office revenue prediction within the intricate landscape of Tamil cinema. Leveraging an ensemble-based model, we intricately weave together various sub-models, encompassing ada-boost, gradient boost, xg-boost, linear regression and random forest regression. Our primary aim is to offer pioneering insights into the domain of Box-Office revenue prediction, finely attuned to the idiosyncrasies of Tamil cinema. Through the amalgamation of diverse model strengths via our ensemble approach, we aim to forge a robust and finely tuned predictive framework. Our study sets out to unveil nuanced patterns, discern trends, and unearth factors that significantly sway the Box-Office fortunes of Tamil films. Employing a methodical approach to analysis and adaptability, we endeavor to propel the accuracy of revenue forecasts forward, thus delivering actionable insights for stakeholders entrenched within the fabric of the Tamil film industry.

Box-Office Revenue Prediction, Ensemble-based Regression, Tamil Film Industry, Ada-Boost, Gradient Boost, XG-Boost, Regression Models

"Ensemble and Boosting Based Kollywood Box-Office Revenue Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.d475-d483, May-2024, Available :http://www.jetir.org/papers/JETIR2405350.pdf

"Ensemble and Boosting Based Kollywood Box-Office Revenue Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppd475-d483, May-2024, Available at : http://www.jetir.org/papers/JETIR2405350.pdf