2025
Project Title:
presence monitoring in a nursing home
Students:
Abu leil Bashar, Igbaria Jad ,Mhameed Abeer
Supervisors:
Tom Sofer, Ori
Description:
This IoT-based system enhances movement detection and treatment monitoring in Snoezelen therapy rooms for nursing homes. Utilizing two ESP32 microcontrollers, it tracks patient movement and responses during therapy sessions.
Includes: secure data storage in Firestore, with real-time access via a web application for healthcare providers to monitor therapy effectiveness."

Project Title:
SPMT- Smart Prosthesis’ Management Tool
Students:
Avigail Yampolsky, Elisheva Hammer and May Abraham
Supervisors:
Itai Dabran and Tom Sofer
Description:
Managing a prosthesis effectively requires precise control over its settings and functionality. This project is a touchscreen-based management tool for configuring and monitoring a smart prosthesis using an ESP32 microcontroller.

Project Title:
Smart Garden
Students:
Yael Chubar, Shahar Kadosh, Dolev Cohen-Nissan
Supervisors:
Itay Dabran, Tom Sofer, Ido Ram
Description:
Keeping plants healthy requires constant monitoring and precise watering, which can be time-consuming and inefficient.
The Smart Garden Project automates this process by using real-time sensor data to optimize irrigation, leveraging Firebase Cloud and a mobile app for seamless data management and remote control.
To ensure reliability in any situation, the system includes offline functionality and allows manual operations through mobile app, providing flexibility alongside automation.

Project Title:
Smart Doorbell
Students:
: Wisam Arraf, Jan Assaf, Feras Khoury
Supervisors:
Tom Sofer, Dina Alexandrovich
Description:
The Smart Doorbell IoT Project addresses the need for enhanced home security and convenience by providing homeowners with real-time monitoring and control over their front door. It combines a smart doorbell with a mobile app, allowing users to stream live video, lock or unlock the door remotely, and receive instant notifications for doorbell rings and motion detection. The system also supports role-based access for family, guests, or deliveries, with secure cloud storage for event history and video footage.

Project Title:
WiseRise
Students:
Maher Bitar & Tala Zoabi
Supervisors:
Tom Sofer & Ido Ram
Description:
WiseRise is a smart alarm clock with a companion app, designed to offer
a personalized and gentle wake-up experience.
WiseRise addresses the common struggle of waking up abruptly and
staying organized throughout the day. It simulates a natural sunrise,
seamlessly integrates with Google Calendar for task synchronization,
and helps users manage their day with ease.

Project Title:
Sport Game
Students:
Gilian Ben Shushan, Daniel Ben Shlush, Ruben Timsit
Supervisors:
Tom sopher, Yaniv
Description:
Interactive sport game that gives the option to train in a playful way
Allows you to train anywhere in a dynamic and fun way that encourages you to train more.
The sport game is an IoT-based interactive game combining running and instinct capabilities training in a playful or competitive way.
Competitive mode between 2 players
Training mode that gives you the option to improve your running and instinct skills
This project give the user a lot of freedom to decide the average distance between buttons and the time which directly affects the training

Project Title:
Smart Desk Display
Students:
Dror Barak - Haran Vadai - Adi Yavor
Supervisors:
Itai Dabran | Tom Sofer | Wesam Hija
Description:
Stay alert while studying
The project is a smart display with sensors and data designed to help the user to stay alert and in touch with critical information without getting distracted by using their smartphones. The project also displays additional environmental data to maintain a regulated study conditions.
Main features include:
Constant tracking of red alerts and alerting you based on selected area.
Vast internet and settings configuration.
An automated sleep/idle mode to save energy.

Project Title:
Surfer Data Collection
Students:
Mousa Abu Alhija, Loay Khateeb, Shada Hijaze
Supervisors:
: Itai Darban, Instructors: Tom Sofer, Yaniv Hassidof
Description:
Ride the Wave of Data Innovation
Our project monitors surfers' performance using advanced IoT technology. It utilizes sensors to capture acceleration, gyroscopic, and force data, delivering real-time insights into athlete movements and techniques. Enhance training and performance analysis with accurate data collection.
Some of our Main Features :
Modular design for expandable sensor setups.
High-Frequency Sampling for precise performance analysis.
Converting raw data into meaningful insights for better analysis.

Project Title:
SafeStep
Students:
Esther Bricker |Matanel Ohayon | Bar Tzipori
Supervisors:
Itai Dabran | Tom Sofer | Yaniv Hassidof
Description:
Redefining mobility for the Visually Impaired
SafeStep is a compact, belt worm system designed to assist visually impaired individuals in detecting obstacles approaching their upper body (chest and head).
It detects obstacles that traditional walking aids like walking sticks and guide dogs may miss, as they primarily alert obstacles at ground level.

Project Title:
Nutritional Information
Students:
Yaniv Valdman, Rashel Strigevsky, Rahaf Egbaria
Supervisors:
Itai Dabran, Tom Sofer, Dina Alexandrovich
Description:
The project simplifies accurate nutritional tracking through automated food identification and analysis
A smart scale and camera system that identifies food items, calculates their nutritional values, and displays the data in a companion app.
Automated Food Recognition: Uses a camera and image processing to identify food items
Integrated Weight Measurement: A scale ensures accurate portion-based nutritional calculations
Companion App: Displays detailed nutritional breakdowns, helping users track their diet easily

Project Title:
Rehabilitation Game
Students:
: Waleed Rinawi, Thaer Abu Tayeh, and Yaser Hegazi
Supervisors:
Tom Sofer, Ori Menashe
Description:
Revolutionizing Rehabilitation with IoT Innovation
An IoT-based rehabilitation system that runs cognitive and sensory tests on patients and provides doctors with real-time data analysis via the Rehapp Friend application. Some of our main features:
Comprehensive Patient Monitoring – Real-time data tracking with Firebase integration.
Interactive Rehabilitation Tests – Auditory, visual, reading, math, and reflex-based assessments.
Doctor-Friendly Analytics – Charts, graphs, and CSV exports for progress tracking.

Project Title:
Smart AC Control
Students:
David Nisanov, Wijdan Eslim, Mazal Sinaniev
Supervisors:
Tom Sofer, Wesam Hija
Description:
Smart AC, Smart Living
Traditional AC systems waste energy due to lack of automation and remote access. Our project solves this with a smart IoT-based system that enables remote control, automation, and real-time monitoring via a Flutter app.

Project Title:
Smart Voice-Activated Light
Students:
Anan Khatib, Lana Abu Romi, Daniel Peleg
Supervisors:
Itay Dabran, Instructors: Tom Sofer, Ido Ram
Description:
Marvin: Light Up Your World with Just a Word
Many people with mobility or visual impairments struggle to control lighting independently, making daily tasks harder. Marvin is a smart, voice-controlled lighting system that enhances accessibility and independence.
Voice-Activated Control: Turn lights on/off, adjust brightness, and set schedules with voice commands.
Time & Weather Updates: Get time and weather updates with a voice command.
Emergency Assistance Mode: Trigger a blinking red light, soft alarm, and SMS alert in emergencies via a voice command.

Project Title:
Robotic Car in a Maze
Students:
Rand Salameh, Adan Shamma, Muhammad Abidulkrem
Supervisors:
: Tom Sofer, Ori Mansharov.
Description:
“Master the maze, redefine navigation!”
A robotic car that uses real-time user input via a GUI to navigate a dynamically adjustable maze.
Main features of our project:
Implements a PID controller for motor speed control, ensuring accurate navigation and smooth turns while avoiding collisions.
The robot uses the A* algorithm to compute the optimal path, dynamically detects unexpected walls, updates the maze map in real time, recalculates route to ensure continuous movement without user intervention and find its goal.
