DESERT HEAT HEALTH GUARDIAN

Desert Heat Health Guardian is an innovative smart application developed using PictoBlox to address health risks caused by extreme heat, especially in hot regions like Oman. High temperatures can lead to dehydration, heat exhaustion, and heat stroke due to a lack of awareness about proper hydration and safety measures. The application provides users with real-time health guidance by analyzing the entered temperature and offering personalized hydration advice, including recommended water intake. It also displays heat risk levels such as Low, Medium, High, or Extreme, along with safety tips to prevent heat-related illnesses. Advanced features like an AI chatbot answer health and summer-care queries, while a daily hydration tracker helps users monitor water intake. Multi-language support in English and Arabic improves accessibility. With its simple and user-friendly interface, the project promotes awareness, healthy habits, and technology-driven wellness solutions for people of all age groups.
SJS Vajra Volt Bot

“SJS Vajra Volt Bot” is an ESP32-based intelligent robotic system specially designed to assist in the inspection and maintenance of high-voltage electric lines in challenging and risky environments. The robot is developed to help electricians and technical workers perform dangerous tasks more safely, especially during extreme weather conditions such as heavy rain, storms, snowfall, excessive heat, or strong winds where human life can be at risk.
The bot can be equipped with sensors, cameras, robotic movement systems, and wireless communication technology to monitor electric lines, detect faults, inspect damaged areas, and assist in repair operations from a safer distance. It may also include a **bionic robotic arm** capable of fixing small components, tightening connections, handling tools, and performing delicate maintenance tasks under human instruction and supervision. This allows electricians to control and guide the robot remotely while avoiding direct exposure to dangerous high-voltage areas.
Another important feature of the “SJS Vajra Volt Bot” is its **adjustable height mechanism**, which allows the robot to extend or lower itself according to operational requirements. This helps it reach different heights of electric poles and transmission lines efficiently. The robot can also be designed with **electric shock-proof and insulated materials** to provide additional safety while operating near high-voltage systems.
Apart from electrical line inspection and maintenance, the bot also has multidisciplinary applications in industries, disaster response, security monitoring, agriculture, education, and smart automation systems. It can support humans in difficult, repetitive, or hazardous tasks while improving efficiency, accuracy, and safety.
The main purpose of the project is not to replace human jobs but to work as a helping hand for human beings. Skilled workers and electricians remain essential for decision-making, supervision, and technical expertise, while the robot assists them by handling risky operations and reducing workload. “SJS Vajra Volt Bot” represents the responsible use of robotics and modern technology for human welfare, workplace safety, and future innovation.
Omni – Your Medicine Companion

OMNI is a smart medicine management system designed to help users take the correct medication at the right time. The system combines automated dispensing, voice reminders, and AI-powered medicine recognition to create a reliable healthcare companion. OMNI features four medicine compartments that open automatically based on scheduled timings, helping reduce confusion and missed doses.
The project was developed using PictoBlox, which allowed us to integrate automation, artificial intelligence, and hardware communication into a single platform. Using PictoBlox’s AI and object detection features, OMNI includes a smart medicine counter capable of identifying and counting different medicines in real time through a camera system. This allows the system to recognize different medicine types and provide spoken feedback to the user in an interactive and accessible way.
By combining automation, accessibility, and intelligent assistance, OMNI provides a smarter and more user-friendly approach to medication management, especially for elderly individuals and people who require regular medication support.
Smart Baby Cradle

Our team developed the Smart Cradle to help parents monitor and care for their babies more easily, especially in busy households where parents may already be tired from work. We noticed that babies are often left in cradles for long periods without proper monitoring, which can lead to discomfort, delayed diaper changes, or unattended crying. To solve this, we designed a cradle with smart sensors and an AI camera system that checks the baby’s comfort and safety in real time. The cradle can detect temperature changes, wet diapers, and nearby movement, while also sending alerts to parents when needed. We also added a rolling base with multiple control modes such as parent control, parent following, and autonomous movement. To make the project affordable and suitable for local production, we used bamboo as the main material. Our goal was to create a safer, smarter, and more supportive baby care system for families.
Hospital Queue Management System

The Hospital Queue Management System is designed to improve patient experience and reduce confusion in hospitals through smart automation and accessibility features. The system uses tactile button controls that allow patients to easily select departments, receive queue numbers, and manage waiting lines in an organized and user-friendly way. This helps reduce overcrowding, saves time, and improves the efficiency of hospital services. In addition, the project includes a smart guiding and navigation system that uses directional lighting indicators to help patients find the correct department quickly and safely. When a patient selects a department, dedicated lights guide them step-by-step toward the required location, making navigation easier for elderly people, children, and first-time visitors. By combining queue management, accessibility, and smart guidance technology, the project aims to create a more organized, efficient, and patient-friendly healthcare environment for hospitals and clinics.
Watt Wise: Smart Living, Smart Energy

Watt Wise: Smart Living, Smart Energy is an AI-powered smart home project designed to help people save electricity and improve accessibility, especially for people with disabilities and elderly users. Many users face difficulties switching electrical appliances on or off due to limited movement, while electricity is often wasted when devices are left running for too long.
Our project uses an ESP32 microcontroller connected to a smartphone application developed using PictoBlox. The system integrates two motor drivers, Driver A and Driver B, to control multiple electrical appliances simultaneously. Commands are sent from PictoBlox to the drivers, while real-time monitoring and cloud connectivity are managed through Adafruit IO connected to the drivers. This allows users to remotely control lights, fans, and other appliances through WiFi efficiently and smoothly.
The project also includes AI Voice Commands, an SOS emergency button, and a buzzer alert system for safety and convenience. Watt Wise can estimate electricity usage and encourage energy-saving habits, helping users reduce electricity costs and avoid unnecessary energy wastage.
This innovation supports SDG 7, SDG 10, and SDG 11 by promoting affordable clean energy, reduced inequalities, and smart sustainable communities.
FaceCare AI

FaceCare AI is designed for elderly and disabled patients communicate their needs using facial expression. The system gives them equal ability to communicate just like others.
NeuroArm-X

NeuroArm-X is the first bionic robotic arm system developed using LEGO EV3, designed to accurately replicate human arm movements through camera-based computer vision, Machine Learning technology integrated with PictoBlox. By combining robotics, artificial intelligence, and motion tracking, the system demonstrates real-time human–robot interaction and intelligent movement control.
The primary objective of NeuroArm-X is to provide a safer alternative for handling hazardous chemicals, space-grade materials, and other dangerous substances in high-risk environments. Unlike conventional safety procedures that still require direct human involvement, NeuroArm-X minimizes human exposure by enabling robotic operation and precision handling from a safe distance.
This project highlights the potential of integrating AI and robotics to enhance safety, precision, and efficiency in scientific, industrial, and space-related applications, while showcasing innovative engineering solutions that can support and protect human life.
Dualcare Lifeguard Smart Health For Children & Elderly

“DualCare LifeGuard Smart Health System for Children & Elderly is an IoT and AI-based healthcare solution designed to support children and elderly people, especially in remote areas of Nepal where healthcare services are limited. Many families cannot access regular health monitoring due to long distances, lack of doctors, and poor medical facilities. This often causes delays in identifying critical health conditions.
To solve this problem, the system continuously monitors vital signs using IoT sensors such as Heart Rate, ECG, Pulse, Oxygen Level (SpO2), and Body Temperature sensors. It also performs urine analysis through Turbidity, TDS, pH, and urine color sensors to detect possible health risks at an early stage. The collected data are analyzed using AI and machine learning to predict abnormal conditions and send alerts.
Health experts can remotely validate the sensor data and manually manage medicine for patients living in rural areas. At the same time, AI supports automatic medicine reminders and smart medicine control when needed. The system also monitors environmental cleanliness and water quality to create a healthier living environment.
Unlike existing systems, DualCare combines health monitoring, urine analysis, AI prediction, expert validation, and smart medicine management in one affordable and human-centered solution for vulnerable communities.
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NICE MIND

Nice Mind is a desktop/mobile wellness application built with Python and PyQt5, designed to help users manage medications, schedule mindful breaks, and track daily water intake. It features an intuitive sidebar navigation system with a dark/light mode toggle and a collapsible menu for efficient screen usage.
Users can add medications with custom dosages and times, schedule breaks with duration settings, and log water consumption via quick-add buttons or custom amounts. The dashboard delivers an at-a-glance view of daily progress through interactive stat cards and progress bars.
The app includes smart reminders for medications, periodic breaks, and hydration alerts. All data is stored locally, while an animated loading screen adds a polished touch. Larger buttons, increased font sizes, and expanded clickable areas enhance visibility and ease of use for all users. Nice Mind combines comprehensive health tracking with a clear, readable interface, making wellness management accessible and comfortable for everyone.