Determine from twitter users the positive and negative sentiment of each party in state elections Streamline datausing pythonand tweeterAPI’sfiltered location wise Performvariousdata cleaningactivitiesandsortdatabasedon keywords Ready to use word dictionary with sentiment values utilized for sentiment values Final sentiments are party wise evaluated Allthe results are displayed with interactivewordclouds which identifies the maximum used words along with positive and negative words Python, Tweepy (Twitter APIs), Natural Language Processing Toolkit

As a part of Master Thesis convolution neural network algorithm is implemented on FPGA hardware for better hardware acceleration Image classification is performed on hardware with lower latency Convolution neural network is developed in Tensorflow (a computational tool in python) and then implemented on hardware using Vivado HLS(High level synthesis) using a C++ code An efficient image classification was developed with lesser process time on hardware

I collected sensor data from vehicles and detected anomalies in vehicles in real time. This data was stored in mongodb data base. Vehicle route optimization was also developed in addition for a logistics firm