Hack-ED v1.0

Minimum Requirements

Develop a layer of analysis over video feed. It should be focussed around applications in a school or a classroom environment.

Some examples-

1. Classroom environment: How much students are participating in discussions, how is the discipline in the class etc
2. School environment (outside classroom): Discipline in corridors and open areas, Gents entering ladies washrooms and vice versa, Detecting vandalism, Detecting medical emergencies etc
3. Hostel environment: Students outside dorms after designated timings, Unauthorized entry in campus etc
4. School Buses: Driver drowsy, driver talking on cellphone while driving, driver/conductor smoking in the bus etc

Feel free to work on any other application relevant to the school ecosystem. The analysis can be on live feed triggering alerts in real-time or on recorded feed for consolidated analysis

On Front End:

• Build an interface to upload a video for analysis
• Display results in a presentable manner for the uploaded video
• Display results of previously uploaded videos (optional)

On Back end:

• Build the algorithm to analyze the video and identify the event(s) of your choice
• Store the clip showing the event occurrence and capture the relevant details
• The data sharing between Frontend and Backend should be in JSON format rendered over REST APIs.
• Zip all your Source Code, Screenshots, Deployment Instructions/Readme and Upload

Bonus Points

• Implement multiple relevant use cases successfully for extra points

Build a mobile/desktop/web app that helps you grade multiple-choice tests in minutes. Allow teachers to scan the OMR Sheet submitted by students with their smartphone, and the app does the rest.

Preferred stack : A mobile App that consumes Python REST APIs.

Minimum Requirements

The key features of the app are:

• Upload answer key - Question Number, Correct Option, Marks for correct answer
• Start evaluating answer sheets. Allow multiple answer sheets to be evaluated with the same key. Question number will be numeric on the OMR Sheet.
• Store and Display Results - student wise and aggregate

Bonus Points

• If the app can read the 10 digit unique student enrollment number handwritten on the OMR answer sheet and store the result against the enrollment number.
• If the app can be handle different types of questions (MCQs with more than 4 options, MCQs with more than one correct answer)

Resources: Sample OMR Sheets

Build an application that can automatically evaluate handwritten mathematical problems.

Eg. given an equation 2+3 = 5, it should be able to tell whether the answer is correct or not.
Preferred tech stack: A mobile App that consumes Python REST APIs.

Minimum Requirements

Start with simple arithmetic operations on integers - Addition, Subtraction, Multiplication, Division. It should follow the BODMAS principle.

Bonus Points

If more complex use cases can be handled such as working with fractions, decimals, exponents etc. Sky's the limit for allowing evaluation of complex calculations and mathematical expressions.