ELDER ASSIST
PROJECT DESCRIPTION:
This project presents a smart, spider-inspired mobility chair designed to support elderly and disabled individuals in moving safely and independently. Unlike traditional wheelchairs, it uses multiple servo motors to create stable, leg-based movement, offering better balance and flexibility.
The system is controlled using an Arduino Mega, with a joystick for user operation and a Bluetooth-enabled remote for caregivers. Powered by a LiPo battery with buck converters for safe voltage management, the device ensures efficient performance. Its foldable design, comfortable seating, and modern appearance make it practical and user-friendly.
In the future, the project aims to include advanced features such as step-climbing ability, gyroscope-based balance control, and an AI-powered health monitoring module. This module can track heart rate and temperature, send SOS alerts in emergencies, and even act as an emotional companion by recognizing facial expressions. Overall, this innovation combines mobility, safety, and care into one intelligent solution.
Miners Safety Helmet
The Smart Helmet is an advanced safety system designed to protect workers in hazardous environments such as mining and construction sites. It integrates multiple sensors to monitor real-time environmental and physical conditions.
The system continuously checks temperature, smoke levels, fire presence, light conditions, obstacle distance, and sudden movements (fall detection). If any unsafe condition is detected, the system immediately triggers alerts using a buzzer, NeoPixel LEDs, and LCD display.
In case of high temperature, a cooling fan is automatically activated. The helmet also includes an emergency push button that allows the user to manually request help.
The system follows a priority-based alert mechanism where critical threats like fire and smoke are handled first. This ensures quick response and improved safety for the user.
Overall, the Smart Helmet acts as an intelligent assistant that enhances worker safety, reduces risk, and provides real-time hazard awareness.
Manit’s Sonic Sensor
Project Manit Sonic Sensor S.H.I.E.L.D. – Smart Hazard Intervention & Enhanced Life Detector
S.H.I.E.L.D. is a low-cost safety prototype designed to eliminate blind-spot accidents. While modern trucks have advanced safety suites, millions of older trucks remain hazardous. My project offers a high-impact, **plug-and-play** solution for these legacy vehicles.
How It Works
The system creates a Digital Safety Bubble:
The Eyes: Five Ultrasonic Sensors (upgraded for 360° coverage) scan surroundings.
The Intelligence:An Arduino UNO processes data, triggering a Servo-mounted Camera using AI to identify humans, animals, or vehicles.
The Triple Alert:To ensure the driver reacts in a noisy cabin, S.H.I.E.L.D. provides visual (LEDs), audio (Buzzer), and haptic feedback via steering wheel vibration motors.
Costing just ₹5,000–₹10,000, S.H.I.E.L.D. combines AI and tactile alerts to make professional road safety accessible for every truck driver, everywhere.
Smart Pillow
PRADNAI – The Smart Pillow Protector is an innovative safety device designed to protect people while they sleep. It monitors vital parameters like heart rate, gas levels, temperature, and humidity in real time to detect potential dangers.
Unlike regular monitoring systems, PRADNAI takes instant action by triggering alarms, vibration, and light alerts to wake the user and notify caregivers. Designed to be affordable, user-friendly, and engaging with emotional indicators, it ensures safety for children, elders, and families.
PRADNAI transforms sleep into a safe and protected experience — a pillow that stays awake so you can sleep peacefully.
HEAL GUIDE XR ROBO CLINIC
INTRODUCTION
The Healthcare Guide XR Robo is a smart 3D and XR-based project designed to
automate patient guidance and basic health screening in a hospital or clinic environment. This
project uses Arduino-based sensors with block-based coding and a 3D XR setup to create a
contactless and interactive healthcare system.
PROJECT CONCEPT
The project is developed using a scene-based approach in a 3D and XR environment.
When a person approaches the hospital entrance, sensors detect the presence and guide the patient
step by step through automated actions displayed in the XR environment.
WORKING OF THE PROJECT
Step 1: An ultrasonic sensor detects a person near the hospital entrance and automatically opens
the door.
Step 2: The LCD screen displays a message indicating that the door is open, and the system
moves to the next scene.
Step 3: Inside the hospital, a sound sensor detects the patient’s presence.
Step 4: The LCD displays that a patient is detected.
Step 5: The LM35 temperature sensor measures the patient’s body temperature and displays the
value on the LCD screen.
Step 6: The system is ready to continue the process for the next patient.
KEY FEATURES
• 3D and XR-based hospital environment
• Automatic door opening using ultrasonic sensor
• Contactless patient detection
• Temperature measurement using LM35 sensor
• Real-time LCD display
• Block-based coding with Arduino
CONCLUSION
The Healthcare Guide XR Robo demonstrates how Arduino sensors, block-based coding, 3D
animation, and XR technology can be combined to create a smart healthcare solution. This project
highlights the future of contactless and automated healthcare systems.
Smart Guardian Walker
Smart Guardian Walker is an intelligent mobility aid designed to enhance the safety and independence of elderly individuals. It helps users navigate daily environments by detecting obstacles, monitoring health, and identifying risks in real time.
Equipped with sensors for obstacle detection, fall detection, heart rate, temperature, and gas levels, the walker ensures both physical safety and basic health tracking. In case of emergencies, it instantly sends alerts to caregivers, enabling quick assistance.
By combining safety, health monitoring, and emergency response, the Smart Guardian Walker empowers elderly users to move confidently and live more independently.
Care Mate
Hardware Components
• Microcontrollers
o Arduino Uno (3)
o ESP32 (1)
o Quarky (1)
• Sensors
o Heart Rate Sensor MAX 30100 (Pulse Sensor)
o DHT11 Temperature & Humidity Sensor
o GSM Module (SIM800L / SIM900)
o GPS Module (NEO-6M or similar)
• Display
o 16×2 LCD Display with I2C Module (3)
o Samsung Tab
• Other Components
o Buzzer (2)
o Push Button (Emergency trigger)
o Jumper Wires
o Breadboard / PCB
o Power Supply (Battery / Adapter)
o Buck Converter (Voltage regulator)
NutriBot – The Smart AI Food Advisor & Delivery Companion
Nutri Bot – The Smart AI Food Advisor & Delivery Companion
NutriBot is an advanced AI-powered food advisor and delivery robot designed to promote healthy eating habits. It assists users in selecting nutritious meals based on their individual preferences while ensuring that only healthy food options are offered. Once a selection is made, the system efficiently processes the order and delivers the food autonomously. By combining modern technology with nutrition awareness, NutriBot encourages better dietary choices and enhances overall well-being, while also serving the food by itself.
SURGICAL STERILIZER
The Smart Surgical Sterilizer is an automated, multi-stage system designed to improve the safety, efficiency, and reliability of surgical instrument sterilization. Traditional methods are often manual and depend heavily on human precision, which can lead to errors and inconsistent results. Our solution addresses this by integrating a structured process that includes water-based pre-cleaning to remove visible contaminants, vibration-assisted cleaning to dislodge particles from complex surfaces, mist spray for deep penetration into micro-crevices, and UV-C sterilization to eliminate microorganisms at a molecular level.
By combining these technologies into a single compact system, the sterilizer ensures consistent and thorough decontamination of instruments. It significantly reduces the risk of infections such as healthcare-associated infections and sepsis, while also decreasing the workload on medical staff. Additionally, it improves turnaround time and operational efficiency, making it a cost-effective and scalable solution suitable for both hospitals and smaller clinics.
Healthy Skin
This project is a skin disease detection application built using PictoBlox and its Image Classifier extension. The goal was to create a simple educational tool that uses artificial intelligence to analyze camera images and classify basic skin conditions.
I started by defining clear categories, such as healthy skin, acne, and rash, and collected balanced training images with consistent lighting, distance, and background to improve accuracy. After uploading the images, I trained the model within PictoBlox to recognize visual patterns.
The application is programmed using blocks: when the green flag is clicked, the camera activates, the image is classified, and the predicted label with its confidence level is displayed. A confidence threshold was added to reduce incorrect results.
This project helped me understand machine learning, the importance of data quality, and practical AI implementation, while significantly strengthening my problem-solving and analytical skills.