80+ hands-on CT activities using everyday Indian objects. No device required for most activities. Culturally rooted, grade-appropriate, and ready to use tomorrow.
Using animal cards from Panchtantra stories, children sort them by multiple overlapping attributes — discovering that classification depends on what question you're asking.
Children sequence the steps of getting dressed using picture cards — discovering that order matters and that putting socks before shoes follows a rule.
One student is the "robot" who can only follow exact instructions. Another student must guide them from one end of the classroom to a target using only precise commands (forward 3 steps, turn right 90°…).
Students act as postmen sorting mail by PIN code for 5 districts. They discover that sorting all 50 letters one by one is slow — and design a faster two-step algorithm. Bubble vs. bucket sort!
Students draw a map of their mohalla (neighbourhood) from memory — then compare it with a classmate's. They discover that each person's map contains different abstractions reflecting what matters to them.
Students receive 30 "census cards" (name, age, occupation, village, income) and must answer 5 questions as quickly as possible — discovering that how you organise data changes how fast you find answers.
A village Panchayat must decide who gets a scholarship. Students are given 5 rules (AND, OR, NOT conditions) and 15 applicant profiles — discovering Boolean logic in real decision-making.
A Swiggy delivery partner must deliver to 6 houses in Pune. Students draw the city as a graph and find the fastest route — independently discovering Dijkstra's algorithm through structured questioning.
Students are given a simplified Mumbai local train network and must answer: "If Central Line shuts at Dadar, how does this cascade?" They discover single points of failure, redundancy, and resilience.
Students model a Primary Health Centre allocating beds among maternity, fever, and emergency cases — setting up constraints as inequalities and finding the allocation that maximises patient outcomes.
Students study a real case of facial recognition misidentification in an Indian city, identify what training data caused the bias, and debate the ethics of deploying such systems in public spaces.
Students build a simple SIR model in a spreadsheet for a fictional city of 1 lakh people, varying transmission rate, recovery rate, and vaccination — discovering how small parameter changes lead to dramatically different outcomes.