A prediction system that can tell if a newly discovered drug is able to prevent a certain disease or not. The main objective of the project was to help researchers to find out if their newly invented drug molecule is capable of preventing a certain disease or not. Here I have got an accuracy of approximately 86 percent. Technology Used: Python , pandas , numpy, rdkit, seaborn, matplotlib, sklearn.
Here I have shown various techniques to get extractive summary of any text provided in a given number of lines I have shown here three techniques of summarization: a. Page-rank score based, b. Maximum Marginal Relevance based and c. Clustering based. Technology and libraries Used: python,nltk,sklearn,networkx,numpy,scipy,math,random.
A client-server application that allows users to chat in real time. Here I have built a client-server chat system using socket programming so that they can interact in real time Technology and libraries Used : c, sys/socket.h , netinet/in.h , arpa/inet.h
This is the site. Technology used: HTMl,CSS,bootstrap,python,Django
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