{"id":1222,"date":"2024-01-04T11:25:53","date_gmt":"2024-01-04T16:25:53","guid":{"rendered":"https:\/\/sites.mitre.org\/capstones\/?p=1222"},"modified":"2024-01-04T11:25:53","modified_gmt":"2024-01-04T16:25:53","slug":"detecting-fentanyl-related-information-in-media-and-data","status":"publish","type":"post","link":"https:\/\/sites.mitre.org\/capstones\/2024\/01\/detecting-fentanyl-related-information-in-media-and-data\/","title":{"rendered":"Detecting Fentanyl Related Information in Media and Data"},"content":{"rendered":"\n<p>Title: Detecting Fentanyl Related Information in Media and Data<br \/>\nProject ID: 6TTEr21<br \/>\nDomain(s): Systems Engineering,Multidisciplinary,Machine Learning,Data Science,Artificial Intelligence,Healthcare and Life Sciences<\/p>\n<p>Description:<\/p>\n<p>Detect information related to Fentanyl in media (e.g., images, video) and data (e.g., numbers, data). <\/p>\n<p>Desired Skills:<br \/>\nData Engineering, Statistics, Data Analytics, AI\/ML<\/p>\n<h3>Clearance-<\/h3>\n<p>US Citizenship Required: No<br \/>\nActive Clearance or Background Investigation Required: No<br \/>\nLevel Needed: <\/p>\n<h3>Team Information-<\/h3>\n<p>Targeted Students: Grad,Undergrad<br \/>\nTeam Size: 5 or More<br \/>\nDetails: <\/p>\n<h3>Specific Requirements-<\/h3>\n<p>Focus on Particular University: Yes<br \/>\nDetails: George Mason University Data Analytics Engineering (DAEN) Program<\/p>\n<h3>Timeline-<\/h3>\n<p>Focus Timeline: No<br \/>\nDetails: <\/p>\n<h3>Funding-<\/h3>\n<p>Potential Funding:No<br \/>\nNote: Availability of funds not guaranteed<\/p>\n<p><br \/>\n<a href=\"https:\/\/sites.mitre.org\/capstones\/interest?PT=Detecting Fentanyl Related Information in Media and Data &amp;PID=6TTEr21&amp;POC=choward@mitre.org\" style=\"background-color:#07648d;color: white;font-weight: bold;padding: 14px 25px;text-align: center;float:right\">I&#8217;m Interested In this Project<\/a><\/p>\n<p><br \/>\n<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Detect information related to Fentanyl in media (e.g., images, video) and data (e.g., numbers, data).  <\/p>\n","protected":false},"author":913,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[11],"tags":[32,25,14,33,13,27],"class_list":["post-1222","post","type-post","status-publish","format-standard","hentry","category-capstone","tag-artificial-intelligence","tag-datascience","tag-healthcare","tag-and-machine-learning","tag-multidisciplinary","tag-se"],"acf":[],"_links":{"self":[{"href":"https:\/\/sites.mitre.org\/capstones\/wp-json\/wp\/v2\/posts\/1222","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.mitre.org\/capstones\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.mitre.org\/capstones\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.mitre.org\/capstones\/wp-json\/wp\/v2\/users\/913"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.mitre.org\/capstones\/wp-json\/wp\/v2\/comments?post=1222"}],"version-history":[{"count":1,"href":"https:\/\/sites.mitre.org\/capstones\/wp-json\/wp\/v2\/posts\/1222\/revisions"}],"predecessor-version":[{"id":1228,"href":"https:\/\/sites.mitre.org\/capstones\/wp-json\/wp\/v2\/posts\/1222\/revisions\/1228"}],"wp:attachment":[{"href":"https:\/\/sites.mitre.org\/capstones\/wp-json\/wp\/v2\/media?parent=1222"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.mitre.org\/capstones\/wp-json\/wp\/v2\/categories?post=1222"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.mitre.org\/capstones\/wp-json\/wp\/v2\/tags?post=1222"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}