Machines should be fully controllable like the real physical machines and an appropriate lab experiment should be overlaid on top of it, which can be performed by any user/student to learn various processes on that machine.
Scoring and assessment should be done in the backend to give live feedback to the users on their performance with the machine.
Tech stack involved : Blender, Maya, etc for creating 3D Model of the machine, Unity3D for coding different elements of the machine as well as the experiment performed on top of it.
A good example: Drilling Machine, which is used to drill holes in a metal piece, or a Lathe Machine, which is used to shape metal rods. Refer to this video for more clarity: WorkshopXR Beta Demo
<aside>
📢 Incentives from Ai-Borne :
To the winners-
A cash prize of Rs. 4000 to the winning team.
Paid internship to the team based on interviews.
To all the participants for this problem statement- Mentorship to the participants of Electrothon.
</aside>
As we all know that the world is permanently moving in online mode by all possible ways and after the end of this pandemic people will prefer 'Go online' in every walk of life but this new era comes with many problems which need to be solved.
In the upcoming scenario of 'the new normal', everything is about to get digitalized. We would like you to propose a solution for the medical industry to promote touchless diagnosis.
Build a framework to analyze the skin pigmentation of a patient and generate a detailed medical report for the same. Use machine learning to study the skin color of the patient.
The evaluation will be on the basis of how detailed your report is!
Your Data-set should be trained to predict the relevant biological functioning of the person.
One of the example to demonstrate this is: Usually, Typhoid can cause a rash, which consists of small pink spots which are sometimes referred to as “rose spots”. Each spot tends to last around 3-5 days. You can detect those and prepare a report for the same.
<aside>
📢 Incentives from IEEE Mandi :
To the winners-
A cash prize of Rs. 2500 to the winning team.
</aside>
It typically takes 52 days for hiring through many hiring channels along with traditional hiring ranges between $4k to $20k. But a referral who gets an interview has a 40% better chance of getting hired than any other sourced candidates and get hired in 29 days.
In the scenario with the referrals, hiring can be much faster with a reduction in cost per hire and a better chance of getting hired.
Build a platform to analyze and gather information about your connections from different popular professional portals,
For information technology : HackerEarth , Codechef, HackerRank or any other or your choice,
For UI/UX : Dribble , Behance and many more of your choice where much user data is available.