International Journal of Innovative Research in Computer and Communication Engineering

ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines

| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |


papers

Efficient Child Nutrition status Detection System through Machine Learning

Prof. Madhav Ingle, Ashwini Vaidya, Pooja Urmode, Prachi Jadhav, Pradnya Sonawane  

Dept. of Computer, Jayawantrao Sawant College of Engineering, Pune, SPP University, India

B. E Student, Dept. of Computer, Jayawantrao Sawant College of Engineering, Pune, SPP University, India

DOI: 10.15680/IJIRCCE.2021.0906177

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