Year: 2025
Type: article
Abstract: YouTube ranks among the largest hubs for sharing videos, yet plenty of people struggle to expand their presence there. Finding down trending subjects takes ages - figuring out which terms work best, spotting shifts in viewer interests, settling on effective tags, crafting eye-catching thumbnails, while keeping tabs on others in the same space takes up hours.This project talks about a smart AI-based system called AI-Driven YouTube Analytics Software as a Service platform that helps with competitor analysis and optimizes content. This system uses artificial intelligence to create thumbnails, predict and identify trending keywords, suggest content, and gather real-time channel data. To make decision-making easier for creators, the platform combines Natural Language Processing (NLP), Computer vision and predictive analysis. The solution helps creators by providing them with data-driven insights in an intuitive interface and is hosted in the cloud and accessible through a web dashboard
Authors: Anshu Raj, Jigyasa Thakare, Trisha Paul, Tapan Potdar, Prof. Manisha Shitole
Institution: MIT Art, Design and Technology University
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4416072520