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@article{200971,
        author = {Tanvi Ramdas Bhosale and Rudraksha Dattu Shinde and Ninad Namdev Pawar and Yash Sachin Shinde and Vedant Aabaso Pawar},
        title = {GrowthPluse : AI-Based Social Influencer Growth Advisor: An Intelligent Approach for Engagement Prediction and Content Optimization},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {3195-3198},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=200971},
        abstract = {This paper presents an AI-Based Social Influencer Growth Advisor: (GrowthPluse) designed to help influencers improve their social media performance using data-driven insights. The system collects data from multiple platforms and analyzes engagement metrics such as likes, comments, shares, views, and posting time. It uses machine learning to predict future engagement and recommend the best time to post, while Natural Language Processing suggests effective captions and hashtags. The proposed solution also provides content ideas, sentiment analysis of comments, and an interactive dashboard for easy interpretation of results. Overall, it helps influencers make smarter decisions, increase audience reach, and achieve consistent growth.},
        keywords = {Social Media Analytics, Influencer Marketing, Artificial Intelligence, Machine Learning, Natural Language Processing, Engagement Prediction, Recommendation System.},
        month = {May},
        }