KRISTINA SOMOLYER

American Supermodel & Entrepreneur

Business Stratagy

We’ll help you optimize your business processes to maximize profitability and eliminate unnecessary costs.

App Development

We’ll handle everything from to app development process until it is time to make your project live.

UX Consulting

A UX consultant is responsible for many of the same tasks as a UX designer, but they typically.

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About Me

A model is a person with a role either to promote, display or advertise commercial products or to serve as a visual aid for people who are creating works of art or to pose for photography. Though models are predominantly female, there are also male models, especially to model clothing.

I’m also a model. I’m from Canada, although I live in New York City now. Unlike Shudu, who’s considered a “new face,” I’ve been in the business for almost five years. I am also a futurist; I spend a lot of time researching.

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My Portfolio

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Deep Learning-Based IoT System for Remote Monitoring and Early Detection of Health Issues in Real-Time

Developed Fund Self
APC AMIR LAB

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https://www.mdpi.com/1424-8220/23/11/5204

Abstract

With an aging population and increased chronic diseases, remote health monitoring has become critical to improving patient care and reducing healthcare costs. The Internet of Things (IoT) has recently drawn much interest as a potential remote health monitoring remedy. IoT-based systems can gather and analyze a wide range of physiological data, including blood oxygen levels, heart rates, body temperatures, and ECG signals, and then provide real-time feedback to medical professionals so they may take appropriate action. This paper proposes an IoT-based system for remote monitoring and early detection of health problems in home clinical settings. The system comprises three sensor types: MAX30100 for measuring blood oxygen level and heart rate; AD8232 ECG sensor module for ECG signal data; and MLX90614 non-contact infrared sensor for body temperature. The collected data is transmitted to a server using the MQTT protocol. A pre-trained deep learning model based on a convolutional neural network with an attention layer is used on the server to classify potential diseases. The system can detect five different categories of heartbeats: Normal Beat, Supraventricular premature beat, Premature ventricular contraction, Fusion of ventricular, and Unclassifiable beat from ECG sensor data and fever or non-fever from body temperature. Furthermore, the system provides a report on the patient’s heart rate and oxygen level, indicating whether they are within normal ranges or not. The system automatically connects the user to the nearest doctor for further diagnosis if any critical abnormalities are detected.

Keywords:

convolutional neural network; Internet of Things; deep learning; medical IoT; sensor

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Tech Expert and judge at selection round of districts wise Digital Bangladesh innovation award 2022

Tech Expert and judge at selection round of districts wise Digital Bangladesh innovation award 2022

Selection round of districts wise Digital Bangladesh innovation award 2022 Tech expert and judge

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Successfully completed preliminary selection round of districts wise Digital Bangladesh innovation award 2022. In where was present honorable DC sir, ADC, DD, ADD, AC, Dio, Civil surgeon, DEO sir and also presented honorable judge Md. Nashir Uddin sir head of ICT dept RGC. I have worked there as a Tech Expert and judge. I Feel proud to work with them.

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Workshop on IoT organized by BUBT

Workshop on IoT organized by BUBT Presented by : Myself

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The Bangladesh University of Business and Technology recently conducted a dynamic and hands-on workshop focused on the practical application of IoT (Internet of Things). I had the honor of being invited as both a keynote speaker and a facilitator for the event. The workshop witnessed a participation of over 100 enthusiastic students, who were organized into 20 groups, each comprising 5 members.

During the workshop, I conducted a comprehensive session structured in three phases. In the initial phase, I dedicated my efforts to enhancing the students’ skills in Arduino, providing them with a solid foundation for IoT development. Moving into the second phase, we delved into the implementation of three fundamental projects that formed the core of IoT applications. This hands-on experience allowed the students to gain practical insights into real-life IoT scenarios.

The third and final phase of the workshop was particularly exciting as it involved the students applying their newfound knowledge and skills to implement 20 mini projects. This segment aimed to encourage creativity and problem-solving, allowing each group to explore and execute unique IoT solutions. The diversity of these mini projects not only showcased the versatility of IoT applications but also empowered the students to innovate and collaborate effectively.

The workshop as a whole not only equipped the participants with theoretical knowledge but also provided them with valuable practical experience. It was a rewarding experience to witness the enthusiasm and engagement of the students as they actively participated in each phase, contributing to the overall success of the IoT workshop.

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IoT Based Smart Locker System

IoT Based Smart Locker System Team: Oliullah Supervised by me

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IoT (Internet of Things) based smart lockers incorporate various features to enhance security, convenience, and efficiency. Here are features found in developed IoT-based smart lockers:

1. Remote Access and Control:
– Users can remotely access and control the lockers through a mobile app or a web interface.
– Lock and unlock functionality from anywhere, providing flexibility and convenience.

2. Biometric Authentication:
– Integration of biometric authentication methods such as fingerprint or facial recognition for enhanced security.

3. RFID/NFC Technology:
– Use of RFID (Radio-Frequency Identification) or NFC (Near Field Communication) technology for contactless access and identification.

4. Mobile App Integration:
– A dedicated mobile app for users to manage and monitor locker status, receive notifications, and control access permissions.

5. Real-time Monitoring and Notifications:
– Sensors and cameras for real-time monitoring of locker status and sending notifications to users about locker activity.

6. Cloud Connectivity:
– Integration with cloud services for data storage, analysis, and remote management of lockers.

7. Automated Locking and Unlocking:
– Automated scheduling or triggered events for locking and unlocking the lockers based on predetermined criteria.

8. User Access Management:
– Administrators can easily manage and grant/revoke access permissions for users.

9. Integration with Smart Home Systems:
– Compatibility with smart home ecosystems for a more comprehensive home automation experience.

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Research project fund event with Aspire to Innovate (a2i) Bangladesh government!

Research projects fund event a2i

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Completed research project entitles are.

1. A Novel ML-Supported IoT Device for Women’s Self-Security System to reduce sexual harassment.

2. An Efficient IoT Enabled Smart Ambulance with provision of Emergency Medicine.

3. Design and development of IoT based Automatic Pet Monitoring and Feeding System.

Supported by Most honorable Vice Chancellor Prof. Dr. Md. Fayyaz Khan, Pro Vice Chancellor Prof. Dr. Md. Ali Noor, Chairman Dept of CSE Md. Saifur Rahman and Service Innovation fund Expert, a2i Nayeem Ashrafi for visiting and evaluating our research projects.

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IoT-based Research projects showcase 2022

IoT-based Research projects showcase 2022 Organized by: BUBT Supervised by: ME

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I organized the IoT-based Research Project Showcase 2022 at BUBT, featuring over 20 projects that I developed and supervised. Among the showcased projects were innovative solutions such as an Automatic Water Pump Controller, Smart Sitting Posture Monitoring System, Soil Nutrient Monitoring and Crop Recommendation, Remote Health Monitoring System, and Smart Bioflock.