Instagram - Driven Social Media Trend Forecasting with Learning Algorithm using Live Dataset

Instagram trend analysis and prediction can be achieved using data analytics and machine learning techniques to examine patterns, behaviors, and content trends on the Instagram platform. Social media platforms, especially Instagram, have become one of the major sources of data for trend forecasting. This requires understanding trends to allow Instagram users to stay relevant to the current trends and current popularity. This is helpful for content creators and business purposes etc. By this the users can also be more beneficial with the content creator, identifying various trends that occur and are followed in the social media. It helps business people in making decisions. Instagram Trend Analysis results in identifying future trends earlier and with the help of data-driven decision-making. This paper aims to present a comprehensive framework for predicting emerging trends on Instagram through a combination of machine learning techniques and advanced data visualization techniques. We delve into the intricacies of data collection, preprocessing, feature engineering, and model development to uncover patterns and anticipate trends. Importantly, we emphasize the significance of effective data visualization in conveying insights and aiding decision-making. Our research showcases the potential of harnessing Instagram data for trend prediction and provides valuable insights into the strengths and limitations of this methodology