Computer assisted Children Physical Fitness Detection and Exercise Intervention Evaluation based on Artificial Intelligence Model









Abstract

Computer-assisted children physical fitness detection and exercise intervention evaluation based on artificial intelligence model is implemented in this research. Big data is usually a modern cost-free product of digital interactions. The increasingly mature concept more clearly describes the difference between the big data and artificial intelligence, which uses descriptive statistics of data with high information density to measure things. In our designed model, the data analytic framework is optimized through the clustering analysis. The main research contents include basic theory, discovery algorithm, data warehouse, visualization technology, qualitative and quantitative exchange model, knowledge representation method, maintenance and reuse of the discovery knowledge, based on these theory, the proposed model are analyzed. The experimental results have proven the effectiveness of the method.


Modules


Algorithms


Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL