• Saurabh Bade
• Swapnil Vaidya
• Yash Chavhan
• Azhar Mithani

Unparalleled growth in the sharing of media via networks has prompted a great deal of research into issues pertaining to image labelling and classification. The training and classification of image retrieval systems requires a large number of labelled images; however, most researchers employ synthetic datasets for their experiments. Our proposed system is simple and easy to use because of it’s multi-purpose use. Experiments demonstrate the excellent performance of the proposed system with regard to accuracy and response time. To end with we provide machine learning in our app to solve some real-world problems and make some lives a little bit easier

Object Recognition, Data Collection, Face Recognition.

"Sherlock's Eye using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.623-628, June-2019, Available :http://www.jetir.org/papers/JETIR1906671.pdf

"Sherlock's Eye using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp623-628, June-2019, Available at : http://www.jetir.org/papers/JETIR1906671.pdf