AI Driven Planetary Bot for Future Vision

Authors

  • Seema J  Assistant Professor, Department of CSE, Nagarjuna College of Engineering and Technology, Bengaluru, Karnataka, India
  • Kunal Kumar Gupta  B.E. Scholar, Department of CSE, Nagarjuna College of Engineering and Technology, Bengaluru, Karnataka, India
  • Challapalli Balaram  B.E. Scholar, Department of CSE, Nagarjuna College of Engineering and Technology, Bengaluru, Karnataka, India
  • Akshay Puttu Shetty  B.E. Scholar, Department of CSE, Nagarjuna College of Engineering and Technology, Bengaluru, Karnataka, India
  • Kamjula Vasudeva Reddy  B.E. Scholar, Department of CSE, Nagarjuna College of Engineering and Technology, Bengaluru, Karnataka, India

DOI:

https://doi.org/10.32628/IJSRST2183120

Keywords:

Machine Learning, CNN, Artificial Intelligence, IOT

Abstract

These days focus is more on technologies like Artificial Intelligence, Machine Learning and IoT. There is lots of platforms available for IOT implementation. ESP8266 chip is among them Here the implementation is about prediction of different aspects of weather data that can be used in many ways like predicting the future condition of different region of earth or predicting future condition of different planets and their different regions. To implement this system, we need different sensors like pressure sensor humidity sensor, temperature sensor and a light intensity sensor i.e DHT11 is utilize for temperature and humidity data together and LDR. Is for light intensity. The data which is sensed by different sensors are than uploaded to Thingspeak which is an API for cloud server by the help of NodeMCU and then converted to csv format. The data can be used for monitoring the real time values too. Machine Learning Environment can be setup by the help of a CNN model. Training of model can be done by recorded values of sensor data. After recording data from sensors to NodeMCU like temperature, pressure, humidity and light intensity and after these values are sent to python environment that is Jupyter notebook for further analysis. Here the data which is used is real time data to predict the particular value and test the model.

References

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International Journal of Scientific Research in Science and Technology

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Published

2021-06-30

Issue

Volume 8, Issue 3, May-June-2021

Section

Research Articles

License

Copyright (c) IJSRST

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Seema J, Kunal Kumar Gupta, Challapalli Balaram, Akshay Puttu Shetty, Kamjula Vasudeva Reddy "AI Driven Planetary Bot for Future Vision" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 3, pp.736-740, May-June-2021. Available at doi : https://doi.org/10.32628/IJSRST2183120