In today's world, many annual events generate user feedback. Sentiment analysis (SA) within Natural Language Processing (NLP) is a key tool used for evaluating these events. This paper introduces SentInsight, a platform that provides real-time assessments of user-generated content, using robust NLP models to gauge event success through the prevalence of positive sentiment. This research signifies a significant advancement in sentiment analysis methodologies and offers event organizers a valuable tool for refining event planning and management strategies. By identifying positive feedback, suggestions, questions, and the best and worst comments, SentInsight enables organizers to make data-driven decisions for future events. Our research highlights the importance of sentiment analysis in enhancing planning effectiveness. By employing advanced NLP techniques, SentInsight discerns nuanced expressions of positivity and provides actionable insights from user feedback. The platform's comprehensive model allows for real-time monitoring and interpretative analyses, enabling organizers to adapt their strategies based on ongoing feedback. This foster engaging experiences across diverse domains and ensures that events are continuously improved based on the latest user reviews.