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Development of an AI-Enhanced Social Network Platform for Genealogy and Family History
  1. case
  2. Development of an AI-Enhanced Social Network Platform for Genealogy and Family History

Development of an AI-Enhanced Social Network Platform for Genealogy and Family History

8allocate.com
Other industries
Social Networking
Genealogy

Identifying Core Challenges in Building a Modern, User-Centric Genealogy Platform

The client faces challenges in enhancing their existing genealogy and social networking platform to improve user engagement, incorporate advanced AI-driven features such as photo restoration and ethnicity breakdowns, and scale efficiently to accommodate growing global demand while maintaining data security and performance.

About the Client

A large-scale online platform dedicated to connecting individuals through family history, offering features such as genealogy tree building, photo restoration, and ethnicity analysis to a global user base.

Key Goals for Upgrading and Scaling the Genealogy Social Network Platform

  • Develop an integrated platform that allows users to build, view, and customize detailed family trees with visualizations of multiple generations.
  • Implement AI-powered features including photo enhancement and colorization to deliver modernized, emotionally engaging user experiences.
  • Incorporate detailed ethnicity and genetic group analysis covering extensive geographic regions.
  • Design secure, scalable web and mobile applications optimized for high traffic and real-time interactions.
  • Facilitate seamless integration with external biometric and social media services to enrich user profiles.
  • Accelerate feature release cycles to better respond to evolving customer needs and market trends.

Functional System Requirements for a Feature-Rich Genealogy Platform

  • Family Tree Builder and Viewer with multi-generational visualization capabilities.
  • AI-powered photo restoration tools, including colorization and enhancement technologies.
  • High-resolution ethnicity and genetic group analysis covering over 2,000 geographic regions.
  • User profile management with social media sharing and integration.
  • Secure login, consent management, and data privacy controls.
  • Real-time notifications and feedback mechanisms.

Preferred Technologies and Architectural Approaches for Implementation

PHP, Java for backend development
React for frontend development
Jenkins for continuous integration and delivery
AWS cloud services for scalable hosting and data storage

External Systems and Data Sources Integration Needs

  • AI and ML services for photo restoration and ethnicity analysis
  • Social media APIs for sharing capabilities
  • External biometric databases or genetic data sources if applicable
  • Analytics platforms for user behavior tracking and performance monitoring

Non-Functional System Requirements and Performance Standards

  • System scalability to support millions of users globally
  • Response time under 2 seconds for key features
  • Data security ensuring compliance with privacy regulations (e.g., GDPR, CCPA)
  • High availability with 99.9% uptime
  • Modular architecture to facilitate rapid feature deployment and updates

Expected Business and User Engagement Outcomes from Platform Enhancement

The project aims to significantly enhance user engagement by offering advanced AI-driven features such as photo restoration and detailed ethnicity analysis, leading to increased registration and activity. Expected outcomes include improved customer satisfaction, higher retention rates, and the ability to process high volumes of traffic efficiently, contributing to the platform’s growth and market competitiveness.

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