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Development of a Serverless Emotion Recognition Mobile Application for Real-Time User Content Interaction
  1. case
  2. Development of a Serverless Emotion Recognition Mobile Application for Real-Time User Content Interaction

Development of a Serverless Emotion Recognition Mobile Application for Real-Time User Content Interaction

eleks.com
Media
Advertising & marketing

Identifying Challenges in Capturing and Analyzing User Emotional Responses

The client seeks to develop an innovative mobile application that enables users to capture and share videos reflecting their live emotional reactions to specific content. They require a technology solution that allows rapid development, market readiness, and valuable consumer insights, addressing the need for more insight-driven measurement of user engagement and satisfaction in a competitive media landscape.

About the Client

A digital media solutions provider aiming to enhance audience engagement through emotion-driven video sharing and insights.

Goals for Rapid Development and Market Launch of an Emotion-Driven Video Sharing Platform

  • Deliver a fully functional, market-ready mobile application within five months, reducing time to market by approximately 30% compared to industry standards.
  • Implement a scalable, serverless architecture leveraging cloud services to expedite deployment and facilitate future feature expansion.
  • Enable users to create, share, and view short reaction videos instantly, fostering social engagement and consumer insights.
  • Provide the client with a secure, transparent, and patentable method for capturing and viewing emotional responses.
  • Gather and analyze user engagement data to deliver valuable insights that inform marketing strategies and content optimization.

Core Functional Capabilities for the Emotion Recognition App

  • User authentication and profile management.
  • Instant recording and uploading of reaction videos via mobile devices.
  • Real-time sharing of reaction videos within a social network environment.
  • A patented method for capturing and viewing emotional responses to videos.
  • Data structure and storage design supporting quick retrieval and analysis of user reactions.
  • User interface designed with UX best practices for an engaging and transparent experience.
  • Analytics dashboard for content owners to gain insights into audience engagement and emotional responses.

Preferred Cloud Technologies and Architectural Approaches

Serverless architecture utilizing cloud services for storage, compute, and data processing.
API Gateway, AWS Lambda or equivalent for event-driven serverless functions.
NoSQL databases for flexible, scalable data storage.
Design thinking methodologies for UX/UI development.

External System and Data Integrations for Enhanced Functionality

  • Video hosting and streaming services for efficient media delivery.
  • Emotion analysis algorithms or SDKs (if applicable) for capturing user responses.
  • Social media APIs for seamless content sharing.
  • Analytics platforms for comprehensive data reporting and insights.

Critical Non-Functional Requirements for App Performance and Security

  • High scalability to support an increasing user base without performance degradation.
  • Performance targets enabling instant video upload, sharing, and viewing experiences.
  • Robust security measures to protect user data and proprietary methods, including encryption and access controls.
  • Compliance with relevant data privacy regulations.
  • Availability of 99.9% uptime and disaster recovery provisions.

Projected Business Benefits from the Emotion Recognition Application

By delivering a highly innovative, fast-to-market emotion recognition app, the client aims to increase user engagement, gain valuable insights into consumer reactions, and differentiate their offerings in the media industry. The project’s success is expected to accelerate market entry by approximately 30%, leading to enhanced brand recognition, improved content strategies, and increased revenue opportunities through deeper audience understanding.

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