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The system tries to predict the speaker based on a sample sound provided. Possible speakers will be a finite set of people who have previously interacted with TISReS i.e. trained TISReS. TISReS will predict speakers using supervised Machine Learning algorithm (HMM).
Based on the extracted data of the primary indicators(GDP, HDI, Literacy Rate, Life Expectancy, Exports, Income….) of Newly Industrialized 15 countries like Sri Lanka, Brazil, Argentina [source : worldbank.org], a Content Based Recommendation System is trained by using Artificial Neural Networks and based on the recommender, sectors which need attention are recommended.
Pustakalaya is a network of book readers in Kathmandu city who all share a common love and interest for reading. This network enables the registered users to connect with other like-minded peers and share books amongst them. Pustakalaya is a dynamic community based repository. Here, everybody is a donor, and everybody is a receiver. In a city where buying and owning books is a luxury that most of the students/enthusiasts can't afford, Pustakalaya provides them with a one click solution for reading the books they desire at their own abode.
Study of patterns of epidemic spread in context of Nepal with the help of the SIR (Susceptible, Infected, Recovered) Model of an Epidemic to learn about the qualitative dynamics of a disease, to test hypothesis about prevention strategies, disease transmission, significant characteristics of a disease and to study the impact of vaccination in the epidemic outburst pattern