SPORT-SPHERE: A Review of AI-Driven Personalized Sports Updates for Multi-Discipline Enthusiasts
DOI:
https://doi.org/10.53469/jrse.2026.08(04).05Keywords:
Artificial Intelligence (AI), Sports Analytics, Personalized Sports Updates, Real-time Sports Notifications, Predictive Analytics, Machine Learning (ML), Natural Language Processing (NLP), Sports Technology, Digital Sports Platforms, AI-powered Sports Content, Sports Data Analytics, User-centered Design, Sports InnovationAbstract
This paper proposes SPORT-SPHERE, a novel AI-powered startup idea that transforms the sports update experience for cricket, F1, Golf, Tennis, and football enthusiasts. Leveraging machine learning, natural language processing, and data analytics, SPORT-SPHERE provides personalized, real-time, in-depth sports updates, news, and analysis. By addressing the limitations of existing sports update platforms, SPORT-SPHERE offers an exceptional user experience, increased engagement, and enhanced decision-making capabilities. This innovative platform is poised to disrupt the sports update industry and become a leading destination for sports enthusiasts worldwide. The sports industry has witnessed a significant surge in demand for real-time updates, in-depth analysis, and personalized content. This paper proposes a novel AI-powered startup idea, SPORT-SPHERE, which aims to revolutionize how cricket, Tennis, and football enthusiasts consume sports updates. By leveraging machine learning algorithms, natural language processing, and data analyt- ics, SPORT-SPHERE provides users with exceptional, personalized, real-time sports updates, news, and analysis.
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Copyright (c) 2026 Reddy Chaudhari, Basha Pathak

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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