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Team - LxNK (Social AI)

by lxnkaiin

We will create multi Platform and Multi functional APIs like algorithm selection, training and tuning, Head to Head model Competition, Preprocessing Of Data, Regression, text simplification, Spam filter, Speech Recognition, Sentimental Analysis, Text Summarization, Question Answering, Image processing, Video processing, Object detection and tracking, emotion analysis, character recognition. We will create an AI and ML based software for school and college students. which will analysis the activities and interest of students and give them a career guide to make them feel stress free about their career. This AI based software can solve on trend real world problems to make our lives much easier. Introduction Video: https://www.youtube.com/watch?v=N7SoXms3kkM

Solution Source, Deployment Instructions are not available for this kit.

Exploratory Data Analysis

For extensive analysis and exploration of data, and to deal with arrays, these libraries are used. They are also used for performing scientific computation and data manipulation. For building Virtual Agent, we use pandas to load, view and analyse data from csv file; and we use numpy to find out the indices of maximum values of an array.

Computer vision

Open Source Computer Vision Library

Machine learning

Dynamic neural networks in Python with strong GPU acceleration

Natural Language processing

Natural language processing is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data.

unified analytics engine

Spark uses the Hadoop core library to talk to HDFS and other Hadoop-supported storage systems. Because the protocols have changed in different versions of Hadoop, you must build Spark against the same version that your cluster runs. Please refer to the build documentation at "Specifying the Hadoop Version and Enabling YARN" for detailed guidance on building for a particular distribution of Hadoop, including building for particular Hive and Hive Thriftserver distributions
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