Platform Modernization And Technical Services

The project involves enhancing core learning platform functionalities, introducing new interactive features, and improving administrative tools for course roadmap management.

The system should allow for the creation and management of contact forms, capture user consent for marketing communications, segment users based on their preferences, and automate the delivery of personalized marketing materials via email.

The system needs to support the creation, deployment, and management of surveys with diverse data collection methods (photo, data, geolocation). It must offer real-time data access, robust reporting, and offline functionality. The platform should provide automation features to streamline survey workflows.

The security analysis plugin should automatically scan code for vulnerabilities, provide real-time feedback to developers, and offer customizable security rules.

The system should provide a platform for creating and managing online forms to collect user contact information and consent preferences. It should automate the process of storing and segmenting user data for targeted marketing campaigns. The system should also ensure compliance with data privacy regulations.

The application should facilitate the creation, management, and analysis of retrospective data. It needs user authentication, project-based organization, board creation, data input (anonymous and attributed), upvoting/downvoting, and data visualization.

The platform should provide end-to-end workflow automation for translation and localization projects, integrate disparate systems, and support the addition of new business processes.

The frontend system must allow users to submit computational jobs, manage cloud provider configurations, track job status, and manage payments. It needs to seamlessly integrate with the backend system for job dispatch and data retrieval.

Redesign the login flow to incorporate enhanced security measures and offer alternative login options, including integration with partner organizations' authentication systems.

The chatbot will handle common customer inquiries, provide product information, assist with order tracking, process returns, and escalate complex issues to human agents. It will leverage natural language processing (NLP) to understand customer intent and provide relevant responses.

The application must allow users to capture evidence, securely store it with timestamped records and encryption, manage storage durations, and access the proof when needed. It also requires admin functionalities for system management and user handling.

The project requires specialized backend development capabilities to support Consultport's platform functionality, including data management, API development, user authentication, and system integration.