This is an Android application developed for the purpose of product enquiry and navigation to the desired or nearest seller (generally a shopkeeper). The name/photo of the product needed by the user is uploaded and all the sellers within a certain radius or distance are notified with the name/photo of the product being enquired and later provide a feedback whether the product is available or not. If the feedback provided is positive, the location of the seller(s) is displayed on the user's map. If there are multiple sellers with the product available with them, the app navigates to the nearest seller from the user's live location. If the product isn't available with any of the sellers, the radius or distance for the enquiry can be increased seeking more options. In this way the user need not search every store physically resulting in saving time.
Liquid level control is a mechanism that monitors, compares, and regulates the level of liquids within a process to a set value. Level measurement determines the position of the level relative to the top or bottom of the process fluid storage tank or silo. Level control and measurement are essential to assuring the safety and profitability of industrial processes. In this project, we are Implementing an intelligent mechanism using machine learning to predict the level of liquid in a reservoir based on the time and motor speed thus avoiding errors and keeping the process is ongoing. Keywords: Adaptive Liquid level control, Machine learning, Intelligent system, red
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