Microsoft Engage Internship 2022 – Get Details and Apply
ABOUT THE PROGRAM :
Intern Engage is a program for engineering students across India graduating in 2024. It is designed to provide a platform for engineering students to accelerate their growth and foster industry-relevant skills through mentorship, coding challenges, workshops and networking opportunities.
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WHAT CAN ONE EXPECT FROM THIS ?
Intern Engage offers multiple engagement and evaluation touchpoints where participants will interact with Microsoft mentors, leaders, interns throughout the course of the program.
Based on consistency and performance during the program, participants will be offered the opportunity to interview and intern with Microsoft India.
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ELIGIBILITY CRITERIA :
Students graduating in 2024 enrolled in a full-time engineering program Bachelors, Masters, Integrated Dual Degree & related degrees
6 CGPA and above
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Choose any one challenge from the three (3) options given below. You could choose to develop a browser-based web application or a native mobile application.
You are free to use any technology, framework, programming language(s), database(s), and cloud platform of your choice
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Face Recognition :
Develop a browser-based application or a native mobile application to demonstrate application of Face Recognition technology.
You could choose to demonstrate application of Face Recognition in any area of application of your choice, for example:
- Preventing crime
- Device security
- Smarter advertising
- Finding mission people or lost pets
- Diagnose diseases
- Tracking attendance
- Facilitate secure transactions
You are free to choose any Face API you are comfortable with
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Data Analysis :
Develop an application to demonstrate how the Automotive Industry could harness data to take informed decisions.
You could choose to use the data set provided, or use any open-source data set available you might have access to, or create your own.
- Download sample Dataset
- Demonstrate the use of data analytics in identifying:
- Customer segments, Most popular car specification combination (engine type, fuel, mileage, etc), Right time to launch a new car, etc
- Any other queries you can think of
Demonstrate through your app the different kinds of algorithms that a web-streaming app (like Netflix) or an audio-streaming app (like Spotify) may use for their Recommendation Engine.
Focus on any algorithm that you choose to highlight, for example:
- Demonstrate what kind of role would a sorting algorithm play in a Recommendation Engine?
- What is the most efficient sorting algorithm to use in this scenario, and why?
- Demonstrate what kind of role would a search algorithm play in a Recommendation Engine? Which search algorithm does your app use, and why?
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PROGRAM SCHEDULE :
STEP 1: Register : Step 1 is to register yourself on this platform.Register Now. Take the test to qualify.Application started from April 11,2022
STEP 2: Learn: There will be plenty of workshops and AMA sessions one can expect and take part on . Learning will be starting from MAy 3,2022
STEP 3: Build: Build a functional prototype. Starting from May 3,2022
STEP 4: Submit: Share your video demo & GitHub repository. Submit it on May 29, 2022
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