[Process Unstructured Content: Aws Textract ]
Project is OPEN [Summer Internship 2023-24]
Extracting insights from unstructured documents manually is a tedious process and requires lot of time and effort. Learn how to add intelligence to process unstructured documents and extract meaningful information using AWS AI services such as Amazon Textract and Amazon Comprehend. In this demo, we showcase how easy it is to process unstructured content like product reviews and extract specific details related to the customer requirements, including overall sentiment of the reviews using Amazon Textract and Amazon Comprehend.
Seeking Student(s) : 03 Tool(s) & Technologies: AWS/An IDE/Java Development Environment
Google Form Link: https://forms.gle/QAa68ZXzpa1XjYc59
[Centralized ElasticSearch-AWS]
Project is OPEN [Summer Internship 2023-24]
This project proposes the development of a cloud-based data processing system that can handle large-scale data processing while maintaining high performance, security, and reliability.
Seeking Student(s) : 02 Tool(s) & Technologies: API/GCP/Python
Google Form Link: https://forms.gle/boysh53jhtr355Yc8
[Evaluation of Cloud Database and Traditional Database Measuring Response Time]
Project is COMPLETED [Summer Internship 2020-21]
Seeking Student(s) : 04 Tool(s) & Technologies: AWS/ASP.Net/Azure/GCP/Python
Google Form Link: https://forms.gle/4QRZ9bYhCn84V9cg7
[Automating the deployment of a website using CI/CD workflow ]
Project is COMPLETED [Summer Internship 2022-23]
Seeking Student(s) : 02 Tool(s) & Technologies: AWS/ASP.Net/Azure/GCP/Python/JSON
Google Form Link: https://forms.gle/DYrdFQq2ASSnFJqH9
[Automate deploying MERN Stack on AWS App Runner with AWS Code Pipeline]
Project is COMPLETED [Summer Internship 2022-23]
Seeking Student(s) : 02 Tool(s) & Technologies: AWS/ASP.Net/Azure/GCP/Python/JSON
Google Form Link: https://forms.gle/tTvQ39zR4wpj5gfY7
Aim of the project is to evaluate the performance comparisons of traditional and normal database and open doors for research on the performance issues in Cloud Database. Creating and deploying data into the traditional database Migrating and deploying data into Cloud Database Test traditional database performance Test Cloud Database performance Compare the results of traditional database and Cloud Database in terms of response time
[Implementation of Multitenant Environment in Cloud Computing]
Project is COMPLETED
Seeking Student(s) : 03 Tool(s) & Technologies: AWS/ASP.Net/Azure/GCP/Python
Google Form Link: https://forms.gle/5VRTmDB2qo36sujSA
The introduction of cloud computing has allowed applications to run on shared resources. As a result, the hosting world become subject to economies of scale. In order to truly benefit from this shared resource model, many software providers are faced with the question of implementing multi-tenancy. This model contrasts with traditional software approaches, where each grouping of customers is hosted on their own customized application and database instances. Multi-tenancy promotes sharing of resources all the way from a single application instance to the database. This allows applications to better fit the cloud computing paradigm. All the while, providing increased maintainability, scalability and reducing hosting costs. This thesis attempts to create an architecture description that addresses the design concerns related to the implementation of a multi-tenant that utilizes Microsoft Azure.
[Implementation of In-Memory Database using Tenancy Model]
Project is CLOSED [Summer Internship 2020-21]
Seeking Student(s) : 04 Tool(s) & Technologies: Oracle In-Memory/AWS/ASP.Net/Azure/GCP/Python
Google Form Link: https://forms.gle/5VRTmDB2qo36sujSA