EcoPhysico belt
This project presents a Smart Assistance Belt for individuals with physical disabilities, functioning as a continuous, independent safety system. Unlike simple alarms, it acts as an integrated monitoring framework that detects risks, classifies events, and responds through controlled alerts.
The system uses an Arduino Nano to process data from multiple sensors. Heart rate is continuously monitored with a pulse sensor and compared to predefined thresholds. Abnormal readings trigger the buzzer for one minute, display a “Heart Rate Irregularity” message on the OLED screen for two minutes, and send an alert via Bluetooth to a caregiver or responsible person.
Falls are detected using the GY-87 module with MPU6050 accelerometer and gyroscope. Abrupt acceleration and angular changes differentiate real falls from normal movements. Confirmed falls activate the buzzer for one minute, show a “Fall Detected” message for two minutes, and send a notification to the caregiver via Bluetooth.
Medication reminders are managed using the DS3231 Real-Time Clock every six hours, triggering the buzzer for one minute, displaying “Medication Reminder” for two minutes, and notifying the caregiver.
Gas concentration is continuously monitored for environmental safety; unsafe levels trigger the buzzer for one minute, display a “Gas Level Warning” message, and alert the caregiver.
The system manages multiple simultaneous events chronologically, displaying them sequentially without overwriting, with a distinct double-beep pattern for concurrent risks.
By combining biometric monitoring, motion analysis, environmental sensing, intelligent alert management, and real-time caregiver notifications, the Smart Assistance Belt provides a reliable, autonomous, and scalable safety solution for people with disabilities.
Tools used in this project
Arduino nano, 380 breadboard, GY-87 MPU6050, Heart pulse rate sensor, DS3231 precision RTC Module, Buzzer driver module, 0.96in 12C OLED 128X64 Display SSD1306, Bluetooth HC-05 Module, Lithium Battery 3.7 800mAh 18650, DC-DC step down 5A small Module XL4015, Lithium Battery 3.7V 800m Ah 18650.
Alzheimer’s Support
Description: Millions of people are at risk of developing Alzheimer’s disease. It is estimated that about 40 million people worldwide are affected, and this number could rise to nearly 60 million by 2030. Most patients are over sixty, but the disease has started to appear in younger people as well. This growing problem shows the need for tools that can detect Alzheimer’s early, which could help improve care and quality of life. Finding changes in the brain before severe symptoms appear is very important for early treatment and monitoring.
To help with this, I developed a program that uses brain MRI images and finds shrinkage in certain parts of the brain. The program uses machine learning to classify the images into three groups: Non-Demented, Demented, and Converted. It looks only at the MRI images and predicts which brains show early signs of Alzheimer’s or progression. This system could help doctors spot changes earlier and better understand how the disease develops over time.
The fingerprint of hope
Fingerprint of Hope is a virtual social environment designed to support and strengthen the social skills of children living with chronic illnesses. Many of these children tend to isolate themselves and feel afraid to interact with others due to fear of discrimination, pity, or being seen as different. This project aims to provide a safe and enjoyable space that helps children feel accepted and confident.
The project is based on designing a virtual game that combines entertainment with psychological support. Children enter the environment as digital characters that they design themselves, allowing them to express their personalities freely and comfortably. The game uses bright, calming colors and pleasant sounds to help the child feel relaxed and emotionally secure.
Communication within the game is voice-only, using a microphone. This approach helps reduce social pressure and gradually breaks the barrier of fear and anxiety, making interaction easier and more natural for the child.
The game is supervised by a psychologist who monitors the child’s emotional and social development through their interactions. Progress reports are sent to parents to help them support their child’s improvement in real life.
Fingerprint of Hope helps improve children’s mental well-being, reduce anxiety and negative thoughts, build self-confidence, and encourage healthy social interaction without fear. The project aims to help children develop stronger personalities and face the future with confidence and hope.
SMART FOOTBOX
A low cost portable Foot Smartbox to detect flat foot in kids and adults with Dual detection methods (AI Image and Sensors)
DIGITAL NETRA SAHAYAK Wearable Precision Eye Drop System
Digital Netra Sahayak is a robotic eye drop assistance system designed to help users apply eye medication accurately and safely. The system is built using an Evive Board, a large motor, a servo motor, and a push-button control mechanism. The Evive Board acts as the main controller and receives input from the push buttons to operate the motors. Two push buttons are provided to select either the left eye or the right eye. When the user presses the left-eye button, the Evive Board activates the large motor, which moves the bottle holder toward the left side. Similarly, pressing the right-eye button moves the holder toward the right side, aligning the eye drop bottle with the selected eye. Once aligned, the user presses the dispense button, which activates the servo motor. The servo motor gently squeezes the eye drop bottle to release a single drop of medicine and then returns to its original position, ensuring controlled and precise dispensing.
Smart Air Compression Therapy for Elderly Mobility
Our system design is a smart, low-cost pneumatic compression device designed to provide gentle leg therapy for elderly individuals who experience stiffness, swelling, or poor blood circulation. Many seniors find it difficult to visit physiotherapy centers regularly due to cost, mobility issues, or lack of nearby facilities. Our system brings basic compression therapy into the home simply and affordably. The device uses an Arduino-based control system connected to a 4 channel relay, air pump, and solenoid valve. When activated, the air pump inflates a soft leg sleeve that wraps around the calf, applying controlled pressure to the muscles. After a short interval, the solenoid valve releases the air, allowing the sleeve to deflate. This repeated inflation and deflation cycle creates a rhythmic compression similar to physiotherapy massage. The device operates on low voltage and is designed to be portable and easy to use. It aims to improve circulation, reduce discomfort, and support better mobility for elderly users.
Safety Mask-Monitoring System for Underground Workers
Project focuses on improving the safety of sanitation workers who work in dangerous confined spaces such as manholes and septic tanks. These environments often contain toxic gases like hydrogen sulfide, methane, and carbon monoxide, along with dangerously low oxygen levels, which can cause unconsciousness or death within minutes. To address this problem, we developed a Smart Mask safety system that continuously monitors environmental conditions and the worker’s health. The system uses gas sensors to detect harmful gases and a health sensor to track oxygen levels and heart rate. If toxic gases are detected or oxygen levels drop, the mask immediately triggers alerts through LEDs and IoT notifications to supervisors. Additionally, a mini air pump automatically supplies fresh air to help the worker breathe safely. This integrated solution provides real-time monitoring, early warnings, and emergency response, helping prevent accidents and ensuring faster rescue operations for sanitation workers.
Meddel Bot
This project involves the development of an automated medicine delivery system. In a pandemic situation it can reduce workload on nurses which helps them to look after the critical patient. This helps reducing the workload by saving the time spent in delivering the medicines to the patient.
CodeBlue AI
Sepsis is a life-threatening medical condition that occurs when the body’s response to an infection damages its own tissues and organs. If not detected early, it can rapidly lead to organ failure, septic shock and death.
*Around 49 million people globally are affected by sepsis every year. (WHO 2024) and around 30 lakh deaths annually in India due to sepsis (The Lancet 2019)
Major challenges include:
Early symptoms look like common fever
Diagnosis is often delayed in rural areas
ICU monitoring equipment is costly
Continuous vital monitoring isn’t always available
Smart mask
My project is a Smart Mask connected to a Telegram application that helps protect people from air pollution.
Air pollution is a serious health problem that can cause respiratory diseases such as asthma, lung cancer, heart disease, and even strokes.
Many people breathe polluted air without realizing the danger because pollution is often invisible.
For this reason, I designed a smart solution that combines prevention and early warning.
The smart mask contains an air quality sensor that continuously measures pollution levels in the surrounding environment.
When the pollution level rises above a safe limit, the system automatically sends an instant notification to the user through Telegram.
This alert helps the user take quick action, such as leaving the area or adjusting the mask properly.
In addition, the mask includes a filtering system that reduces harmful particles entering the nose.
This project aims to raise health awareness and use technology to create a safer and healthier future.