HEALTH CARE ROBOT
In today’s fast-paced world, access to timely and efficient healthcare is more important than ever. Our project, the Smart Healthcare Robot, is designed to bridge the gap between patients and medical assistance, offering support, monitoring, and communication in both home and hospital environments. This intelligent robotic assistant is capable of monitoring vital signs, providing medication reminders, assisting with emergency alerts, and even offering companionship to patients—especially the elderly or those with limited mobility. By integrating sensors and artificial intelligence, the robot ensures better care, reduced workload for medical staff, and enhanced patient safety and comfort.
Automatic railway gate
This innovative project leverages automation to enhance railway safety, featuring a fire detection module that utilizes a COâ‚‚ sensor to detect potential fires, triggering a buzzer to alert passengers and staff. Additionally, an automated train stop system employs a magnet and reed sensor in conjunction with an Arduino Nano to temporarily halt trains at stations. The system also incorporates an ultrasonic sensor for automatic gate control, enabling seamless opening and closing of gates, further enhancing safety and efficiency. By prioritizing passenger safety and accident prevention, this project improves overall railway security through effective sensor integration, microcontroller programming, and comprehensive system design.
Home Assist Robot
This is a robot developed especially for the elderly who are alone in the house. It assists them by providing security, healthcare, entertainment and helps them with their daily needs. In basis of security, this robot contains a safe locker and helps to control a smart home. In healthcare it has a medicine box which reminds them to take their medicines on time, a smart band, exercises and finally a virtual doctor. In entertainment, it has games, emotion detector, books, dance, music and riddles. Excluding these, it also has welcome movements and a vacuum cleaner to assist them with the house hold. This project mainly focuses on solving the problems of the elderly by providing them with their needs and solving the problems faced by them in a day to day basis.
MEDICAL CARETAKER HUMANOID ROBOT
My project is an advanced medical caretaker humanoid robot designed to
promote good health and well-being using artificial intelligence and machine
learning. It assists patients, especially the elderly and those with chronic
conditions, by offering features such as hand and item sanitization, smoke
detection, fever and diabetes monitoring, Al-based X-ray and eye scans,
emotion tracking, and a virtual doctor for quick diagnosis. The robot also
supports physical activities, provides personalized care via RFID cards, offers
entertainment, and helps with medication reminders and walking assistance.
This all-in-one solution aims to revolutionize healthcare with smart, interactive,
and compassionate technology.
Home Automation
A modern smart home with RFID-enabled gates, solar tracking, and IoT-based control ensures security, efficiency, and comfort. Features like rain sensors, gas leak alerts, and automatic water management enhance safety and sustainability.
HOUSE GENIE
AN AI-POWERED HOUSEHOLD CHORE BOT THAT AUTOMATES CLEANING, SECURITY, AND TASK MANAGEMENT THROUGH SMART SENSORS AND HOME INTEGRATION. ITS MODULAR, ADAPTIVE DESIGN CUSTOMIZES FUNCTIONS TO USER PREFERENCES, PROMOTING EFFORTLESS AND AUTONOMOUS LIVING.
FRESH TRACK FRIDGE
An Advanced AI-powered Smart Refrigenerator built using block coding, aimed at enhancing food management , accessibility and well being
ECO TRACK INITIATIVE
A smart environmental monitoring and management system designed to promote sustainability and responsible resource usuage.
AUTO BOTANIC
AutoBotanic is a smart soil management system that consists of two parts. The first part is the soil health
monitoring system, which includes a transmission tower connected to several sensors, such as an NPK sensor
that monitors the levels of nitrogen, potassium, and phosphorus in the soil. It also has a soil temperature and
moisture sensor capable of providing accurate values. The entire transmission tower is powered by a self-adjusting
solar panel that can adjust its direction toward the sun. These sensors are connected to a custom-designed transmission
PCB, created by me using open-source designing software. I ordered this PCB from an Indian manufacturer, which keeps
the production cost low. The PCB features an Arduino Nano as the main microcontroller, connected to a high-range NRF
module that transmits the soil’s nutritional values. These signals are received by the receiving module, which contains
an ESP32 that uploads the values to the internet, allowing them to be observed via an app or website.
The second part of the project is the smart fertilizer dispenser. As we saw, the soil health monitoring system accurately
detects deficiencies in the soil, but how can these deficiencies be addressed? This is where the smart fertilizer dispenser
comes into play. This technology is so unexplored that I can even patent it, and I have already started the process of patenting
it. The smart fertilizer dispenser reads the values from the NPK sensor and then begins dispensing fertilizers from its three
containers, each containing nitrogen, phosphorus, and potassium, until the values reach the desired threshold. For example
, if a farmer wants to grow wheat, they can set the dispenser to wheat mode through the AutoBotanic website. This will adjust
the threshold values of nitrogen, potassium, and phosphorus to match the specific needs of wheat.
Robo Arm-E
This robotic hand printed in 3D is a small and functional gesture control and robotics learning prototype. It is made with precision and utilizes strong yet lightweight PLA material for fingers and joints. MG995 servo motors, which are highly torqued and reliable, are used to actuate each finger. Flex sensors are integrated into a glove or control interface and sense finger movement, translating it into variable resistance signals. These signals are then read by an ESP32 microcontroller.