Sentinel-Home

Elevating Smart Living with AI-Enhanced Security

Description:

Sentinel Home is an innovative smart home project that redefines the concept of modern living by combining the power of IoT (Internet of Things) and Machine Learning (ML) to create a secure, intelligent, and convenient living space. Unlike traditional smart homes, Sentinel Home goes beyond automation and convenience; it prioritizes your safety and peace of mind.

Key Features:

Intelligent Intrusion Detection: Sentinel Home utilizes advanced ML algorithms to detect unusual activities and potential threats in realtime. Whether it's an unauthorized entry or an unexpected event, our system keeps you informed and safe.

1- Adaptive Security:

Our system helps to secure users life throw a collection of data that helps machine learning models to predict emergency depend on the nature of data and the environment around the system throw cameras, sensors .

2- Effortless Control:

With our user-friendly web app, you can effortlessly control and monitor every aspect of your home remotely. Whether it's adjusting the thermostat, checking security cameras, or locking/unlocking doors, Sentinel Home puts you in control, no matter where you are. Emergency Response: In case of emergencies, Sentinel Home is equipped to react promptly. It can notify authorities, send alerts to your trusted contacts, and provide essential information to first responders, ensuring your safety in critical situations.

Privacy Assurance:

We understand the importance of privacy in a connected world. Sentinel Home detects how’s home owners throw computer vision algorithms to make sure you are secure if there is a strangers home system will notify you, computer vision algorithms also can detect thieves weather detecting from masks or dangerous weapons Experience a new era of smart living with Sentinel Home, where security is smart, personalized, and always on your side. Welcome to a home that not only caters to your needs but also actively protects you and your loved ones.

Project Member Rules:

Embedded IoT:

Youssef Ashraf Fawzy Abdelhakem

Machine learning & AI:

1 – Mohamed Ramadan Fahmy Noureldeen 2 – Mohamed Nasser Hussein Hassan 3 - Karim Mohamed Sayed Fahmy

Backend:

Adham Ahmed ryad aze alarab

Front-End:

1 - Salah Eldein Mohamed Salah Abdelwakeil 2 - Ahmed Abdelhamed khairy abd elhamed

Project Milestones:

1 – Hardware Configuration and simulation 2 – Machine learning and AI Algorithms 3 – Backend for data collection and processing 4 – Server setup 5 – front end for user interface 6 – deployment 7 – Testing