Naeem S. Profile | Freelancer

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$6 USD / hour

Flag of PAKISTAN

$6 USD / hour

It's currently 1:06 PM here

Joined May 20, 2017

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Naeem S.

@villagerlvl1

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$6 USD / hour

Flag of PAKISTAN

$6 USD / hour

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Expert Python, Arduino, Raspberry Pi Programmer

I am a Biomedical Engineer, with fluency in both written and spoken English with ample experience in handling work of this nature. I want to help optimize your time, by providing my skills and services for accomplishing what you want to do. It can be using Python to make a data analysis tool, a computer vision program, developing desktop applications, etc. Or it can be integrating sensors or modules with an Arduino or Raspberry Pi board. I will aim to accomplish your tasks in an accurate, efficient manner, so lets work together!

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Portfolio

6093993

This project involved modelling a system to visualize the activation of different muscles by acquiring electromyography signals of different muscles of the body during workout and conditioning that signal through a custom built EMG bio-amplification circuit. This signal is the input for the Arduino Uno, which has been programmed to determine whether a muscle is active or not. If active, the Arduino board generates a visual output in the form of lighting an array of LED according to the muscles activated.

Muscle activation indicator using EMG

This project involved modelling a system to visualize the activation of different muscles by acquiring electromyography signals of different muscles of the body during workout and conditioning that signal through a custom built EMG bio-amplification circuit. This signal is the input for the Arduino Uno, which has been programmed to determine whether a muscle is active or not. If active, the Arduino board generates a visual output in the form of lighting an array of LED according to the muscles activated.

Muscle activation indicator using EMG

6093957

In this project, a system was developed to monitor real-time video and generate an alert if a fire is detected in the video feed.
The project used a Raspberry Pi 3 with a PiCam camera to provide the live video feed to be monitored. A python program using the OpenCV image processing library takes this live feed and using image processing techniques, determines whether there is a fire in the video feed or not. If a fire is detected, the raspberry pi can generate a visual or audible alarm at the site using an alarm light or speaker. In this case, the python program is also integrated with a Firebase server, to which an alert is updated which sends a alert notification to the users connected to this database using an android application to alert the users that a fire has erupted at the site being monitored.
this system can be used as a low-cost safety mechanism in laboratories or factories by integrating this system with the live CCTV feeds of the rooms.

Fire detection and alarm system

6093898

In this project, an AD8232 1-lead heart rate monitor sensor module was connected to an Arduino Uno. A HC-05 bluetooth module was also connected to an Arduino to relay data from the Arduino to an Android phone. The Arduino was programmed to acquire the heart rate (in BPM) and a 1-lead ECG signal and stream the data in real-time to an Android phone via a HC-05 to visualize the data on the smartphone.

Integrating an AD8232 sensor module with Arduino and HC-05

In this project, an AD8232 1-lead heart rate monitor sensor module was connected to an Arduino Uno. A HC-05 bluetooth module was also connected to an Arduino to relay data from the Arduino to an Android phone. The Arduino was programmed to acquire the heart rate (in BPM) and a 1-lead ECG signal and stream the data in real-time to an Android phone via a HC-05 to visualize the data on the smartphone.

Integrating an AD8232 sensor module with Arduino and HC-05

In this project, an AD8232 1-lead heart rate monitor sensor module was connected to an Arduino Uno. A HC-05 bluetooth module was also connected to an Arduino to relay data from the Arduino to an Android phone. The Arduino was programmed to acquire the heart rate (in BPM) and a 1-lead ECG signal and stream the data in real-time to an Android phone via a HC-05 to visualize the data on the smartphone.

Integrating an AD8232 sensor module with Arduino and HC-05

6093993

This project involved modelling a system to visualize the activation of different muscles by acquiring electromyography signals of different muscles of the body during workout and conditioning that signal through a custom built EMG bio-amplification circuit. This signal is the input for the Arduino Uno, which has been programmed to determine whether a muscle is active or not. If active, the Arduino board generates a visual output in the form of lighting an array of LED according to the muscles activated.

Muscle activation indicator using EMG

This project involved modelling a system to visualize the activation of different muscles by acquiring electromyography signals of different muscles of the body during workout and conditioning that signal through a custom built EMG bio-amplification circuit. This signal is the input for the Arduino Uno, which has been programmed to determine whether a muscle is active or not. If active, the Arduino board generates a visual output in the form of lighting an array of LED according to the muscles activated.

Muscle activation indicator using EMG

6093957

In this project, a system was developed to monitor real-time video and generate an alert if a fire is detected in the video feed.
The project used a Raspberry Pi 3 with a PiCam camera to provide the live video feed to be monitored. A python program using the OpenCV image processing library takes this live feed and using image processing techniques, determines whether there is a fire in the video feed or not. If a fire is detected, the raspberry pi can generate a visual or audible alarm at the site using an alarm light or speaker. In this case, the python program is also integrated with a Firebase server, to which an alert is updated which sends a alert notification to the users connected to this database using an android application to alert the users that a fire has erupted at the site being monitored.
this system can be used as a low-cost safety mechanism in laboratories or factories by integrating this system with the live CCTV feeds of the rooms.

Fire detection and alarm system

6093898

In this project, an AD8232 1-lead heart rate monitor sensor module was connected to an Arduino Uno. A HC-05 bluetooth module was also connected to an Arduino to relay data from the Arduino to an Android phone. The Arduino was programmed to acquire the heart rate (in BPM) and a 1-lead ECG signal and stream the data in real-time to an Android phone via a HC-05 to visualize the data on the smartphone.

Integrating an AD8232 sensor module with Arduino and HC-05

In this project, an AD8232 1-lead heart rate monitor sensor module was connected to an Arduino Uno. A HC-05 bluetooth module was also connected to an Arduino to relay data from the Arduino to an Android phone. The Arduino was programmed to acquire the heart rate (in BPM) and a 1-lead ECG signal and stream the data in real-time to an Android phone via a HC-05 to visualize the data on the smartphone.

Integrating an AD8232 sensor module with Arduino and HC-05

In this project, an AD8232 1-lead heart rate monitor sensor module was connected to an Arduino Uno. A HC-05 bluetooth module was also connected to an Arduino to relay data from the Arduino to an Android phone. The Arduino was programmed to acquire the heart rate (in BPM) and a 1-lead ECG signal and stream the data in real-time to an Android phone via a HC-05 to visualize the data on the smartphone.

Integrating an AD8232 sensor module with Arduino and HC-05

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Education

Bachelor of Science - Biomedical Engineering

Sir Syed University of Engineering and Technology,

Pakistan

2012 - 2016

(4 years)

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Microcontroller

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