Student Thesis Project Seeking Blynk Starter Plan Sponsorship

Hello everyone,

My name is Macky, and I am a student from the Philippines currently working on our undergraduate thesis project.

Our research is titled “MILES (Machine Intelligence Learning ESP32 System): An IoT Device for Real-Time Air Quality Monitoring in Construction Environments.”

Our system uses ESP32 and multiple air quality sensors to monitor particulate matter, carbon monoxide, smoke, temperature, and humidity in real time. The collected data is enhanced using machine learning to improve accuracy and reliability. The system then provides real-time visualization and alerts to help improve safety and decision-making in construction sites.

Blynk has been a very important platform in our study. It allows us to visualize sensor data in real time, create dashboards for monitoring, and implement alert systems that are crucial for our project. The platform is user-friendly and powerful, which makes it ideal for IoT-based research like ours.

However, while the free plan is helpful, it does not include some of the features we need to fully implement and complete our system. As students, we unfortunately cannot afford the Starter Plan subscription at this time.

With this, we are respectfully asking if anyone in the community or from the Blynk team could kindly provide a sponsor access or promo code that could grant us a Starter Plan. This support would greatly help us complete our thesis successfully.

This research will not only help us pass our course requirement, but more importantly, we hope it can contribute to improving safety standards in the construction industry through smarter air quality monitoring.

We would be deeply grateful for any assistance or consideration.

Thank you very much for your time and support.

— Macky

Hello everyone,

My name is Macky, and I am a student from the Philippines currently working on our undergraduate thesis project.

Our research is titled “MILES (Machine Intelligence Learning ESP32 System): An IoT Device for Real-Time Air Quality Monitoring in Construction Environments.”

Our system uses ESP32 and multiple air quality sensors to monitor particulate matter, carbon monoxide, smoke, temperature, and humidity in real time. The collected data is enhanced using machine learning to improve accuracy and reliability. The system then provides real-time visualization and alerts to help improve safety and decision-making in construction sites.

Blynk has been a very important platform in our study. It allows us to visualize sensor data in real time, create dashboards for monitoring, and implement alert systems that are crucial for our project. The platform is user-friendly and powerful, which makes it ideal for IoT-based research like ours.

However, while the free plan is helpful, it does not include some of the features we need to fully implement and complete our system. As students, we unfortunately cannot afford the Starter Plan subscription at this time.

With this, we are respectfully asking if anyone in the community or from the Blynk team could kindly provide a sponsor access or promo code that could grant us a Starter Plan. This support would greatly help us complete our thesis successfully.

This research will not only help us pass our course requirement, but more importantly, we hope it can contribute to improving safety standards in the construction industry through smarter air quality monitoring.

We would be deeply grateful for any assistance or consideration.

Thank you very much for your time and support.

— Macky

Please don’t keep creating new posts on the same topic. I’ve merged your latest post into your original one.

Pete.