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Innovation Base Quiz

Questions of the week

Answer the below questions and win exciting rewards 🤑

Winners of the previous Quiz

18/04/2025

Hema G S

Hema G S

Class 8

Sri Vasavi Vidya samsthe sira

Rohan gowda M.R

Rohan gowda M.R

Class 9

Mother Teresa international School

Ullas S

Ullas S

Class 4

St Michel's English school 🏫

Manasvi C S

Manasvi C S

Class 4

Saketh mother Teresa school

Prathiksha. M

Prathiksha. M

Class 9

Sri sharada English School Sidlaghatta

divya bharti

divya bharti

Class 7

STG public school chinkurakli

Charan  J R

Charan J R

Class 9

SRI sharada school

Rehan

Rehan

Class 6

New age high school

Bhavya bysani

Bhavya bysani

Class 6

Vidya Jyothi school

Komal

Komal

Class 8

New age high school

Note: Quiz prizes will be awarded to ten randomly selected students who submit correct answers before the deadline. Winners will be declared on the website and the weekly newsletter.

Winner cup

April 18, 2025

Q1. Scenario: A semi-automated delivery robot must travel from the Admin Block (A) to the Seminar Hall (G) within the school campus.

Each road connecting the buildings is evaluated based on three factors:

Distance (in metres)

Traffic Level (On a scale of 1–10; higher value indicates more congestion)

Road Condition Score (On a scale of 1–10; higher value indicates safer roads)

The robot is programmed with an algorithm that calculates an effort score for each path using these three factors and chooses the route with the lowest total score.

Note: The Lab (F) is under maintenance. Any route passing through or connected to F must be avoided.

To determine the best route, the robot calculates an Effort Score for each path segment using the following formula:

Effort Score = Distance + (2 × Traffic Level) + [3 × (10 – Road Condition Score)]

Challenge: Using the provided data, determine which route the robot will take.

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Q2. Scenario: A semi-automated delivery robot has been programmed to move between departments on the school campus. It needs to travel from the Admin Block (A) to the Auditorium (F).

Each road connecting the buildings is evaluated based on three factors:

Distance (in metres)

Traffic Level (On a scale of 1–10; higher value indicates more congestion)

Road Condition Score (On a scale of 1–10; higher value indicates safer roads)

To decide the best route, the robot calculates an Effort Score for each path segment using the following formula:

Effort Score = Distance + (2 × Traffic Level) + [2 × (10 – Road Condition Score)]

Note: The road from D to F is blocked due to construction. The robot cannot use this path.

Task: The robot will select the route with the lowest effort score, balancing speed and safety.

Based on the data, which route will the robot take from A to F?

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April 11, 2025

Q1. Dr. Emilia Richter, a dedicated physician, has developed a strong interest in data science. Motivated by her growing curiosity about data visualisation, she envisions leveraging data-driven approaches to simplify the diagnostic process, especially for patients with chronic or complex symptoms.

To begin her project, Dr. Emilia Richter four types of leg ulcers and four types of liver disorders:

Leg Ulcers

Venous ulcer

Arterial ulcer

Vasculitic ulcer

Diabetic ulcer

Liver Disorders

Alcohol-induced hepatitis

Viral hepatitis

Bilirubin conjugation-related syndromes

Cholecystitis

She creates a database by recording common and specific symptoms typically associated with each condition.

Common Symptoms (Present in All Conditions)

The following symptoms are observed across all ulcer types:

Lower leg ulcer persisting for more than six months

Occasional swelling in the legs

Occasional bleeding from the ulcer

The following symptoms are observed across all the Liver disorders:

Yellow-coloured urine

Yellow-coloured eyes

Elevated bilirubin level in blood reports

Refer 'Referance Image' for 'Additional Symptoms for Each Condition' table.

If all common symptoms along with the additional indicative symptoms for a specific category, are present, a diagnosis can be made with confidence. Otherwise, the patient should undergo further medical tests to confirm the condition.

Testing

Dr Emilia Richter is now ready to test her visualisation. A new patient presents with the three common symptoms, along with one additional clue.

Question: Which of the following patients is most likely showing signs of two different diseases? One from each category.

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Q2. Dr. Emilia Richter, a dedicated physician, has developed a strong interest in data science. Motivated by her growing curiosity about data visualisation, she envisions leveraging data-driven approaches to simplify the diagnostic process— especially for patients with chronic or complex symptoms.

To begin her project, Dr. Emilia Richter focuses on four types of leg ulcers:

Venous Ulcer

Arterial Ulcer

Vasculitic Ulcer

Diabetic Ulcer

She creates a database by recording common and specific symptoms typically associated with each condition.

Common Symptoms (Present in All Four Conditions)

The following symptoms are observed across all ulcer types:

Lower leg ulcer persisting for more than six months

Occasional swelling in the legs

Occasional bleeding from the ulcer

Refer the 'Referance Image' for the 'Additional Symptoms for Each Ulcer Type' table.

If all common symptoms, along with the additional indicative symptoms are present, a diagnosis can be made with confidence. Otherwise, the patient should undergo specific medical tests to confirm the condition.

Testing

Dr Emilia Richter is now ready to test her visualisation. A group of new patients presents with varying symptoms of different severity levels.

Question: Which of the following four patient reports is most indicative of a Diabetic Ulcer?

Note: It is possible that one patient may exhibit symptoms of more than one condition.

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