This 11-year-old built an AI smart cane for ₹10,000 and took it to the UN

STAMBHA is a smart walking cane designed by 11-year-old Aaradhya Jain. It combines navigation help, basic health monitoring and emergency alerts in one device. Its name means “the pillar” in Sanskrit. The project matters because it aims to make assistive technology more affordable and useful for older people and visually impaired users.

An ordinary cane mainly provides physical support and helps someone feel obstacles. STAMBHA adds a laser rangefinder that detects objects ahead and sends a buzz through the handle. Its camera describes scenes and reads signs aloud. Sensors in the grip monitor pulse, blood oxygen and balance. Users can also speak to it in Hindi or English.

STAMBHA remains a working prototype, not a medical device. Aaradhya built it over about a year and tested it with family members. She plans to place it with elderly and visually impaired users next, then improve it based on their feedback.

Aaradhya Jain began with concerns about ageing relatives and curiosity about navigating without sight. She designed, wired and programmed STAMBHA at home in Noida. Her father and uncle Nitin Jain supported the project. The cane runs on an ESP32-S3 microcontroller, while AI programming tools helped write about 80% of the code.

Building it involved repeated practical testing. Early versions failed because sensors did not work reliably in every position. Aaradhya moved the sensors until they performed better. She watched the most difficult soldering rather than doing it herself. Her parents, grandparents and elder sister became the first test users.

Between 25 August and 23 September, she ran 16 test sessions. These produced more than 22,600 sensor records, over 8,500 obstacle records and nearly 20,000 balance records. The next step is testing with real elderly and visually impaired users, whose feedback will guide redesign.

STAMBHA is designed to help users both understand the world ahead and monitor their own condition. That combination is important because many smart canes focus only on obstacles. Aaradhya’s cane also checks signals from the person holding it and can communicate in Hindi or English.

A laser rangefinder detects obstacles in front and gives a buzz in the palm. A camera describes the scene and reads signs aloud, such as a pharmacy sign. The user can ask questions like, “Where is the nearest chemist?” or “Is my walk steady today?” Grip sensors track pulse, blood oxygen and balance. The system uses current surroundings and past readings when responding.

The cane also knows whether a hand is still holding it. These functions are part of a working prototype, not a medical device. It makes no diagnostic claims. Its purpose is to notice changes, improve awareness and provide assistance without relying on a phone.

STAMBHA’s affordability is one of its most striking features. Its parts cost about ₹10,000, while comparable smart canes sold abroad cost ₹80,000 or more. That makes the prototype roughly one-eighth the price of those imported products. The lower cost could make advanced assistance more reachable for Indian users.

Aaradhya also gathered substantial early testing data at home. Between 25 August and 23 September, she held 16 sessions with parents, grandparents and her elder sister. The sessions generated more than 22,600 sensor records, over 8,500 obstacle records and nearly 20,000 balance records. These measurements covered several parts of the cane’s operation.

Together, the figures show serious development work, but they do not prove the cane is ready for widespread use. The tests involved family members rather than a broad group of users. Aaradhya’s next stage is to test it with elderly and visually impaired people and redesign it around their experiences.

When STAMBHA detects that something has gone wrong, it contacts family with the user’s location. This gives relatives a way to respond even when they are not nearby. The cane can also work without a phone, so a dead smartphone battery does not automatically remove its protection.

The important feature is its attempt to distinguish a stumble from a fall. A small trip may not require an emergency response, while a serious fall could leave someone needing immediate help. If every minor stumble triggered an alert, families could receive unnecessary warnings and lose confidence in the system.

The article identifies false alarms as a major reason people abandon assistive gadgets. STAMBHA is built to stay quiet when an incident is minor and alert family when the event appears serious. However, it is still a working prototype and makes no medical claims. Wider testing will show how reliably this feature works in real use.

An affordable, Hindi-speaking smart cane could fit the needs of many Indian users. STAMBHA can answer spoken questions in Hindi or English, read signs and alert family members. Its parts cost about ₹10,000, far below comparable smart canes sold abroad for ₹80,000 or more. Price and language can both affect whether a device is practical.

The cane could help an older person ask for the nearest chemist, understand a sign or receive support after a fall. It also works without a phone. That matters for users who may not always have a charged smartphone or may live with children who work long hours far away.

The article gives a broader demographic reason for the need. About 149 million Indians are over 60 today, rising to about 347 million by 2050, according to the UNFPA India Ageing Report 2023. STAMBHA is not yet widely trusted, but its low-cost design targets a clear access gap.

A prototype is an early, working version of a device. It demonstrates an idea but still needs testing, adjustment and evidence before people can depend on it widely. Aaradhya describes STAMBHA as a working prototype and clearly says it is not a medical device or diagnostic tool.

Her early testing showed why further work matters. Sensors malfunctioned in some positions, so she moved them until they worked better. Family members completed 16 sessions, producing thousands of records about obstacles, balance and other sensor readings. Those tests helped develop the cane, but they were not the same as testing across many independent users.

Elderly and visually impaired people may use the cane differently or identify needs Aaradhya’s family did not encounter. Their feedback can reveal whether instructions, alerts and physical controls are comfortable and dependable. Aaradhya plans to test the cane with these users and redesign it around what they tell her before wider trust is possible.