What's in it for me?
Develop a browser-based application or a native mobile application to
illustrate implementation of Face Recognition technology.
You might select to illustrate use of Face Recognition in any field of application of your choosing,
- Preventing crime
- Device security
- Smarter advertising
- Finding mission people or missing pets
- Diagnose illnesses
- Tracking attendance
- Facilitate secure transactions
- You are free to select whichever Face API you are comfortable with.
Demonstrate the application of data analytics in identifying:
You might opt to utilize the data set given, or use any open-source data set accessible you might have access to, or develop your own.
Customer segments, Most common automobile specification combination (engine type, fuel, mpg, etc) (engine type, fuel, mileage, etc), Right moment to debut a new automobile, etc
Any additional questions you can think of
Demonstrate via your app the many sorts of algorithms that a web-streaming service (like Netflix) or an audio-streaming app (like Spotify) may utilize for their Recommendation Engine.
Focus on any algorithm that you wish to emphasize, for example:
Demonstrate what type of function would a sorting algorithm play in a Recommendation Engine?
What is the most efficient sorting algorithm to employ in this circumstance, and why?
Demonstrate what type of role would a search algorithm play in a Recommendation Engine? Which search algorithm does your app utilize, and why?
How To Apply for Microsoft Engage 2022 Intern
Click On the following bAfter Completing /Filling the Required Details , Apply for the Internship and Build the Project / Challenge on Given Topic. Submit The project , After validation of project you will receive opportunity to intern at the Microsoft.