Evolution of business feedback software of Inevex at service provider institution

This internship report is submitted in a partial fulfilment of the requirements for the degree of Masters of Business Administration, 2018.Catalogued from PDF version of internship report.Includes bibliographical references (page 23).Inevex Solutions Limited is a startup IT firm in the world, commenced its operations from mid- 2015 and has since been able to establish one of the largest networks of five branches in four different countries. Inevex Solutions Limited offers all kinds of Commercial Corporate and Personal web based services include software solutions.Inevex Solutions Limited is one of the IT firm which facilitate all kind of facilities that an IT firm offers. It is working locally as well as internationally. Insights is the name of the feedback software and the sever is being shared with amazon. Customers are very important for every business. IT firm in Bangladesh has grown significantly as “service-industry” overtime. My report is based on the Evolution of business feedback software of Inevex at service provider institution. In this report I tried to lift up a general condition of marketing strategy of Inevex Solutions Limited as IT firm promised and delivered to the survice providers. The first part of the report contains information of the organization itself, the products and services that IT firm is providing to the customer opinion and vision for the future. The second part of the report contains the nature of job, my duties and responsibilities towards the job and some suggestions how they can improve their current marketing strategy. The third part contains the project part that I was involved in my internship the objectives of my reports and the methodology. In this part I have discussed about marketing strategy of Inevex Solutions Limited, employee’s behavior and cooperation to the customer with the service provider. The last part contains the concluding part. Before drawing any conclusion based on this report it may be noted that there might be lack in data, but still it may be useful for designing any further study.Humayra FakirM. Business Administratio

IoT based real-time synchronized clock

This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018.Cataloged from PDF version of thesis.Includes bibliographical references (page 49-50).Maintaining the perfect timing is a necessity in every human life. We all are accustomed to clocks, both the analog and its digital counterpart. But, different clocks, even within the same geographical position, show different times. They are not synchronized. This problem of de-synchronization and all the trouble it causes has motivated us to look for a feasible solution. Keeping in mind the course of current technological progress, we have proposed an IoT based solution to the problem of de-synchronization. We have come up with a digital clock which is smart enough to update its time with the help of internet by fetching the time from NTP servers at a regular interval and displaying it. We describe, in this paper, our system, its methodology, hardware and software implementation, integration and synthesis of different components, its technical and financial aspects, and finally, the future works.Mohammad Moinul HaqAakash RabbiMustafa JamilAraf ZahinB. Electrical and Electronic Engineerin

Analyzing users’ sentiment towards video games based on reviews from microblog

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.Cataloged from PDF version of thesis.Includes bibliographical references (pages 39-40).This project proposes a new model of sentiment analysis for video game’s reviews. In these days people tend to check reviews and ratings of video games before spending money and time for a game. In the proposed model, ratings for video game will be generated by doing sentiment analysis on public opinion. As Twitter is one of the most popular micro-blogging sites, for public opinion we collected data from Twitter. Before fitting the algorithms we preprocessed the gathered data to a supervised form. In the model Naïve Bayes, Support Vector Machine, Logistic Regression and Stochastic Gradient Descent algorithm were used for performance comparison. They were trained on a training set and to validate the performance the algorithms were tested several times on a test set to get better accuracy. After that a new classifier was used which acted as a voting classifier for the algorithms. This classifier was used for sentiment analysis on the data to get polarity. To validate the model, we generated rating from calculating polarity for each attribute which contains gameplay, graphics, sound, multiplayer and plotted in a graph where results are shown.Abhijeet RoyMobtasim Hasan KhanShandro ChakrabortyB. Computer Science and Engineerin