2021-2022
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ItemSocial Media Content Analyser( 2022-08-20)Social media analytics is the process of collecting information from social media and analyzing patterns in the data which helps businesses to make effective conclusions. In this project, we are going to implement concepts of Machine Learning, NLP, BDA and Data Science. Analysis of social media data like followers, likes, comments etc from platforms like Facebook, Instagram, Twitter, Youtube, Whatsapp. The project will be a web application as well as a mobile application. The end users can be business users, influencers and personal users who want to enhance their profile.The features of the project will be post scheduling which is a system that will automate the process of posting on a particular date and time, Once the condition is time, once the condition is satisfied then automatically post will be posted using social media API. A campaign is a planned sequence of activities and processes which promote an individual product, service, or resources. Campaign generation will be done by asking various questions and by processing that data campaign data will be generated. According to the user's requirement, input data will be arranged and a series of posts will be generated. To understand consumer's satisfaction and the feedback it is important to understand what consumers are thinking about the company. Consumer's sentiments about the business posts will be detected using sentiment analysis of comments. In this module the response of consumers on a certain post will be analysed using NLP and sentiment analysis for that ml algorithms like SVM, Naive Bayes will be used to classify and generate the data. When we will deploy this software for consumers, as per commercial aspects it is important to show advertisements. In the application only that ads will be displayed which are useful to the consumer's business using NLP and Neural Networks. Clustering algorithms like k-means clustering will be used to cluster popular Hashtags according to input tags given by the consumer for the selected post. User registration will be done by filling a form and data will be stored in a database(firebase). The engagement, ROI, the reach of a post are some important parameters to analyze. The analysis of social media data will be done using classification techniques using machine learning models like K-means clustering, Neural Networks, python libraries like pandas.
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ItemCreating a Cloud Architecture for Machine Learning and AI Application( 2022-08-20)Today many tasks require large amounts of computing power. Many students cannot afford such a setting. To achieve these goals, cloud computing initiative will provide students with cloud access to GPU's and other high end hardware for rendering, compiling and other tasks. We will build and deploy a cloud using open source components and AI ML services so that hardware can be used by anyone, anywhere. To meet our project building needs, we will be using the Openstack platform. Openstack is a software platform that manages a huge pool of computing, storage and network resources through API's or dashboards. Additional components in addition to the usuals infrastructure-as-a-service capabilities, include orchestration, fault management and service management, among other services, to gurantee that user applications are available at all times.
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ItemSUSPICIOUS EMAIL DETECTION( 2022-08-20)