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At this point individuals prefer own vehicle for travelling to stay off from trouble. But just in case of any disruption during travelling, it’s very strenuous to go looking mechanic in anonymous location. Therefore, to work out this trouble we come up with an online based assistance system. During this system car and bike mechanics are ready to record yourself with their assistance information. The website will trace client’s live location automatically when he’s online. Based on client’s live location, system will develop a listing of the closest mechanics. When the client look for the mechanics then the list are going to be visible, so if user’s vehicle breakdown, then he is going to be ready to view the closest mechanics. This website is employed to seek out the closest mechanics while we instantaneously stuck on the rural area because of vehicle breakdown. It’s an adequate solution for the client who hunt for help within the rural areas. Here, only verified mechanics are entered in this website. As well, mechanics are examined by the admin for not asking unspecified top off charge against the client. This probably observed through the tech team over the client response supported their assistance. The certified client can attain this website. This website will assist to chop down client time to detect an accurate mechanic. This website will acknowledge client to pay the bill for a vehicle fixing in an appropriate charge. Keywords: Live Location, Client, Mechanic, Vehicle Disruption/Breakdown, Issue.

The paper reflects the use of Artificial Neural Networks with the help of various machine learning algorithms for voice isolation. In particular, we consider the case of a voice sample recognition by analyzing the speech signals with the help of machine learning algorithms such as artificial neural networks, independent component analysis, activation function. The strategies by which our central nervous network decodes the network stimuli same as artificial neural network will analyze the given speech sample. After first step, a set of machine learning algorithms will be used like independent component analysis algorithm and gradient function algorithm for processing. After the processing, a decision statement will be applied to generate the desired output. Keywords: Artificial Neural Network, Voice Isolation, Fast Independent Component Analysis, Gradient Descent

Verbal communication been the most versatile and easiest way of communication since ages and nowadays also, it is used by today's machines also but every entity has its complications. Since, the commencement of 4G, hackneyed the verbal communication via mobiles. Thus, experiencing distortion in the message travelling between sender and receiver. So, the concerned paper shows how a new classification method tackles this problem by using Artificial Neural Networks(ANN) with the help of machine learning algorithms. The scope of artificial neural network is very vast it can be used in various fields such as speech enhancement, speech identification and many more. By using artificial neural network with machine learning algorithms, isolation will be done from the noise which got superimposed while travelling through the channel. Keywords: Artificial Neural Network, Voice Isolation, Independent Component Analysis, Neurons