Implementing Artificial Intelligence with IoT, Prolonging the Existence of Marine Animals

Devyansh Batra, Ashish Sharma, Vikas Wasson · 2023

Fish in aquariums live shorter lives for a variety of reasons. To protect life during this research, a machine learning algorithm was created; the algorithm that was created would help fish live longer. Before the aquarium has developed with the proper composition to keep fish in good health, excessive amounts of nitrates and ammonium in the water might be detrimental. Until these toxins can be flushed out of the fish's bodies by the benign bacteria within, sudden deaths of fish may occur. Since much of the possibility for human error has already been minimized in this process, human involvement is not required. This teaching strategy will contain backup systems and temperature control that is automatic and accessible to the user when they need it. The contents of this aquarium may be changed whenever you choose by using the vacuum jets that are connected to the inlet and flow out. This research will make use of certain compounds as an alternate technique to protect the fluid's purity. With the use of the Q Cannon camera, users will be permitted to discharge food pellets into an aquarium once a certain amount of time has passed in this unique idea. In addition, chlorine will be used in this project as a backup chemical that will be used if the water change fails or dangerous viruses or bacteria quickly arise an aquatic ecosystem. This innovative attempt will also have two tagging systems that can help the user interpret extra information about the aquatic animals living in his aquarium. This effort will include proper hiding places and artificial foliage so that the aquatic creature will feel more at home in his preferred habitat. Thanks to polyurethane, the most recently constructed structure will additionally feature adequate insulation for temperature control, which is beneficial to maintain an appropriate temperature in the water of the aquarium. Additionally, this neural network system will have a forecasting algorithm that can tell the user how many days are left until the tank's water level is autonomously altered. On his handheld device, the person will receive all the necessary recommendations for the additional acts that must be completed.

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