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Sumedha Rana's Projects

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Repository Contains Programming assignments and Projects present there in the Course

faceidentification_with_database icon faceidentification_with_database

Face identification algorithms focus on the identifiction of frontal human faces. It is analogous to image detection in which the image of a person is matched bit by bit. Image matches with the image stores in database. Any facial feature changes in the database will invalidate the matching process. It's mostly use for the security.

intelligent-customer-help-desk-with-smart-document-understanding icon intelligent-customer-help-desk-with-smart-document-understanding

Category : Artificial Intelligence 1. Project Summary : In this project, we use the typical customer care chatbot experience, but instead of relying on pre-determined responses, the dialog provides a hook that can call out to other IBM Watson services for additional sources of information. In this case, its an owner manual that has been uploaded to Watson Discovery. 2. Project Requirements : i) Create a customer care dialog skill in Watson Assistant. ii) Smart Document Understanding (SDU) to build an enhanced Watson Discovery collection. iii) Create an IBM Cloud functions web action that allows Watson Assistant to post queries to Watson discovery. iv) Build a web application with integration to all these services and deploy the same on IBM Cloud Platform. 3. Functional Requirements: Capture step-1: The data source from external is annotated by using Watson Discovery Smart Document Understanding. step-2: The user interacts with the back-end server through the application user interface. The front-end app user interface is a chatbot that engages the user in a conversaton. step-3: Dialog between the user and back-end server is coordinated using a Watson Assistant dialog skill. step-4: If the user asks a question that falls outside of the scope of the pre-determined question set, then a search query is issued to the Watson Discovery service through a Watson Assistant search skill. 4. Technical Requirements : i) write the code in github account and clone the repository. ii) Create Watson services. iii) Configure Watson Discovery. iv) Configure Watson Assistant. v) Add Watson service credentials to environment file. vi) Run the application. 5. Software Requirements: IBM Cloud Node-RED (Flow-based development tool for visual programming developed by IBM). IBM Watson services, Watson Assistance, Watson Discovery. IBM Cloud functions Customer Help Desk with Smart Document Understanding(SDU). 6. Project Deliverables : Requirement specification (Document) - Initial briefing report. User interface Backend Development Set up of Test System User Training session Project Report 7. Project Team: Individual project Name : G.Bhavya 8. Project Schedule : (19 days) Project Planning & Kickoff - 1day Setup the Development Environment - 1 day Create IBM Cloud Account - 0.5 day Create a Node_RED Starter Application - 1 day Explore IBM Watson Usecases - 0.5 day Introduction to Watson Assistance - 2 days Introduction to Watson Discovery- 2 days Getting Started with IBM Cloud Functions - 1 day Create necessary IBM Cloud services - 1 day Configure Watson Discovery Service - 1 day Create cloud functions action - 1 day Configure Watson Assistant - 1 day Build Node-RED flow to integrate all services - 2 days Build a web dashboard - 1 day Test the Bot and capture the results - 1 day Prepare the project report and upload the Node_RED flow to GitHub - 1 day Create a project Demo Video and upload to youtube - 1 day

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CS579: Online Social Network Analysis at the Illinois Institute of Technology

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