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Harish Mohan's Projects

all-in-all icon all-in-all

All the basic features needed in the mobile are brought in to this app

antitheft-alarm icon antitheft-alarm

An Android application that uses proximity sensor and safeguard mobile from theft.

commuter-pass icon commuter-pass

Android application for commuters to book and renew bus(or)railway pass.

computation-service-using-grpc icon computation-service-using-grpc

Built a Computation service comprising of several micro services that communicated using gRPC APIs such as Unary, Server streaming, Client streaming, Bidirectional streaming. Leveraged features like Interceptors, SSL Security, Error Codes, gRPC Reflections and Deadlines in the service.

dnn-text-classifiers icon dnn-text-classifiers

After the advent of convolutional and recurrent neural networks, the content based intelligent classification is being given high priority. But the biased feature learning by recurrent networks and window restricted feature learning by convolutional networks restrict the performance of these networks. In this project, three variants of deep learning based text classification system for combining the convolutional and recurrent networks in parallel manner that overcomes their individual limitations is proposed. We also propose a novel activation function Inverse Exponential Linear Unit (IELU) that allows the network to learn more features in comparison with traditional activation functions like Rectified Linear unit and Exponential Linear unit. The throughput of the system is analysed by considering a variety of datasets and performance metrics into consideration. It has been inferred that all the three parallel architectures have higher performance when compared with the existing classification systems. Also, our IELU performs better than the widely used activation functions in text classification application.

find-my-friend icon find-my-friend

Android application to track the location of friends using Google Maps API

leave-management-system icon leave-management-system

Android application to enable employee to issue leave request and employer to grant/reject the request using cloud services

memorize icon memorize

UNMAINTAINED. PHP implementation of the SM2 spacing algorithm.

song-clustering-using-locality-sensitive-hashing icon song-clustering-using-locality-sensitive-hashing

Performed K-Medoids songs clustering using Locality sensitive hashing as the distance metrics. Employed Map-Reduce technique to process millions of songs and cluster them based on lyrics similarity. Gained insights regarding the relationship among song attributes like lyrics, genre, year released and artists.

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