I came across your Google Scholar profile and was genuinely impressed by your work. Your research is valuable, and I believe it deserves even more visibility. I specialize in helping researchers boost their Google Scholar citations and reach a wider audience. Would you be open to a quick chat about it?
You can DM me on https://wa.me/message/HHDT2UVEOG6QH1
Modern sports recruitment now relies heavily on AI-powered analytics, wearable tech, and integrated data platforms to identify and evaluate talent with greater accuracy.
Performance analytics – Computer vision breaks down match footage to measure speed, agility, and positioning, then feeds these into ML models benchmarked against elite athlete datasets.
Predictive modelling – Hybrid approaches, like those in my Dynamic Stock Price Prediction Leveraging LSTM, ARIMA, and Sparrow Search Algorithm, can be adapted to forecast injury risk, career longevity, and performance peaks by combining short-term performance trends with long-term potential.
NLP-based scouting reports – Natural language processing condenses thousands of qualitative assessments into bias-mitigated, standardized profiles without losing expert nuance.
Wearable IoT integration – GPS, heart rate monitors, and inertial sensors stream continuous performance and health data into AI dashboards, enabling discovery of talent beyond traditional scouting networks.
A critical layer is data governance, ensuring fairness, transparency, and compliance — principles I explored in Efficacy of Data Governance in Machine Learning for Banking, which can be directly applied to reduce bias and ensure equitable athlete evaluation.
If your goal is to design or improve such a recruitment system, I can share more on optimizing hybrid AI models for variable performance data and building governance frameworks that meet ethical and regulatory standards — both key to making these tools practical and trusted in high-stakes sports environments.
Warm greetings. Good morning. Thank you for your response to my question and your kind visit. I benefited greatly from what you presented and proposed. I will review more research papers to benefit from them. May your contributions in the field of scientific research continue. Good luck.