Detection of glaucoma has become critical, as it has arisen as the subsequent essential driver of visual impairment, around the world. At present, most of the algorithms in use rely on pre-trained deep neural networks to produce the best results. However, the high computational time and complexity and the need of a large database, make glaucomadetection arduous and difficult. Keeping these in mind, this paper proposes a new convolutional neural network architecture, in particular, ProspectNet, which has demonstrated to accomplish a better accuracy with lesser computational time and complexity when tested against two pre-trained networks: VGG16 and DenseNet121. The data set is an amalgamation of two publicly available datasets-DRISHTI-GS and Glaucoma Dataset (Kaggle), comprising ocular colour fundus images of glaucomatous as well as normal eyes. ProspectNet has accomplished a normal AUC (area under the curve) as 0.991, specificity, and precision as 0.98. Confusion matrices also plotted to illustrate the new architecture's efficacy. These outcomes demonstrate that ProspectNet is a hearty option in contrast to other best in class calculations for a medium sized dataset. The paper suggests three distinct structures for glaucoma detection. One advantage of our approach is that no special feature selection, such as detailed measurements of particular traits like the structure of the optic nerve head, is necessary.

With the episodic increase of advancement in technology, wireless communication has become the need of the hour. The rate at which the use of wireless technology is being developed is tremendous. However, with the increase in usage, there has been unfortunately an increase in network complexity. In order to resolve the crisis of radio frequency spectrum, a newly developed technology has been proposed. This technology has been coined as Li-Fi: Light Fidelity. It is a technology, based on Visible Light Communication, which is used to transmit signals and data from one system to another with the help of a Led. The paper proposes a transmission system which will be responsible for transmitting audio signals from one system to another with the help of Li-Fi. Here a light emitting diode acts as the Li-Fi transmitter and photodiode acting as a Li-Fi receiver.The spontaneous switching of the Led enables propagation of signals through a wireless channel and is picked up by the receiving photodiode. The photodiode adhering to its functiontransforms the optical signals into electrical signals and therefore original data is retrieved and transferred. Additionally, with proposition to the system, a comparative study has been delineated with the already existing system.The existing system of networking and communications involve Wi-fi. The emergence and usage of Li-fi is necessary because it offers a substantially similar user experience to Wi-Fi except using the light spectrum. It is essential as it will able to meet up the connectivity demands of future as it is able to unlock unprecedented data and bandwidth.

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