Sherlocks Phoenix

Created by team team phoeniks on March 14, 2023

Our Sherlock's Phoeniks Search Squad solution is a facial recognition system that utilizes generative AI models like ChatGPT and stable diffusion, as well as computer vision techniques, to identify and locate missing persons in real time . The system will take input in the form of text describing the appearance of the missing person, as well as raw images such as sketches, CCTV footage, or blurry photos. The algorithm will then search through internal databases and internet/social media platforms like Facebook and Twitter to find matches and potentially identify the missing person. This system has the potential to significantly aid Police and Investigating agencies in their efforts to locate and bring missing persons home

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"The Sherlock's Phoeniks Search Squad solution is an impressive facial recognition system that uses generative AI models like ChatGPT, stable diffusion, and computer vision techniques to locate missing persons in real-time. The system can analyze sketches, blurry photos, and CCTV footage, as well as text descriptions of the missing person, to identify them from internal databases and social media platforms. This innovative system has immense potential to assist police and investigation agencies in finding and bringing missing persons home"


Theodoros Ampas

Technical Mentor

"Cool concept! The missing person use case is really interesting and useful. Interested to see where this can be implemented in the future! "


Mohd Nomaan

Co-Founder & Business Head at NeoLocus

"Awesome idea behind! Great to focuse on search on the people and it'll be reall helpful for your user profile."


Olesia Zinchenko

Product Marketing Manager

"Nice project! As I've seen several attempts to generate mugshots already, I suggest focusing on the computer vision part of the project."


Jakub Zakrzewski

Product Manager at New Native

"This is a great way of combining computer vision and GPT-3 API for such a fun project ! Would love to see how this evolves and what are your next steps for this project."


Dimitrije Pesic