Abstract
Abstract--Is it feasible to accurately understand what is happening at a certain location when we are not physically present without watching video footage. Since we are all currently busy with other tasks, we don't have a lot of time to dedicate to watching the entire film in order to understand what is happening. But, there is another choice for this, namely an audio clip with a person actually narrating the scene. The main advantage of this is we can simultaneously save time and multi-task i.e doing our work by listening to the audio clip that is generated by getting the up-to-date information and also if any person suddenly falls which may cause heavy injuries that may lead to a major medical issue for elderly people. Therefore to prevent such emergencies, it will also feature an alarm system to detect human falls. This is made feasible by utilising cutting-edge technology like computer vision and image processing to record live events, RNN with LSTMs to process and analyse the recorded ones, and natural language processing to provide a description of what is happening. Users receive audio clips that are created using the Google Text to Speech API. Keywords: Image processing, Computer Vision, Natural Language Processing, Convolution Neural Networks.
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