Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/6093
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Vashnavi Chawda, Vandana Arya, Shuchi Pandey, Shristi | - |
dc.date.accessioned | 2021-07-17T04:03:26Z | - |
dc.date.available | 2021-07-17T04:03:26Z | - |
dc.date.issued | 2020-07 | - |
dc.identifier.citation | 1CR16EC181, 1CR16EC183, 1CR16EC208, 1CR16EC161 | en_US |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/6093 | - |
dc.description | Internal Guide & External Guide : Manohar Valleti, Elumalai R | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | CMR Institute of Technology. Bangalore | en_US |
dc.relation.ispartofseries | ;PR3089 | - |
dc.subject | Electronics and Communication Project Report, 2019-2020 | en_US |
dc.title | Unique Face Identification System Using Machine Learning | en_US |
dc.title.alternative | ECE Project Report, 2019-2020 | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | ECE Project Report, 2019-2020 |
Files in This Item:
File | Description | Size | Format | |
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PR3089.pdf | 2.51 MB | Adobe PDF | View/Open |
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