Transforming Video Entertainment with AI-Powered Content Discovery and Advertising Intelligence

KreedaLabs partnered with KeCaps to build an AI-powered video entertainment platform that delivers personalized content discovery, enriched advertising campaigns, and seamless user experiences across devices.

Business Challenge:

KeCaps, a video entertainment platform, aimed to redefine how users consume and interact with video content. However, the client faced several challenges in scaling its offering:

• Fragmented Experience: The platform needed integration across apps, smart devices, and content services to provide a unified user journey.
• Content Complexity: Manual categorization of video content limited efficiency and accuracy in delivering tailored recommendations.
• Advertising Limitations: Existing ad management lacked precision targeting and personalization, reducing campaign effectiveness.
• User Profiling Gaps: Incomplete data on viewer behaviors and preferences limited the ability to deliver truly customized experiences.
• Scalability Needs: With growing demand, the platform required an AI-driven architecture that could evolve with user interactions and advertiser requirements.

Comprehensive Solution:

KreedaLabs developed an Artificial Intelligence-based content discovery and advertising system that powers KeCaps’ next-generation platform.

• Multi-Area Platform: Built three core components—
• Apps for smartphones and SmartTVs working in symbiosis.
• Content Platform to analyze and categorize video content.
• ADV Platform to create and manage targeted advertising campaigns.
• AI-Powered Content Discovery: Automated analysis of video scenes by identifying mood, context, places, colors, sounds, and objects.
• Semantic & Linguistic Evolution: Designed the AI engine to continuously evolve based on user interactions and advertiser patterns.
• Advanced Architecture: Implemented a robust system using AWS (EC2, Lambda, Amplify, S3), MongoDB, Postgres, and AI/ML frameworks (PyTorch, Scikit-Learn, RedisAI, TensorFlow).
• Categorized & Cataloged Video Library: Enriched all content with AI-driven metadata for faster search and discovery.
• User Profiling: Collected explicit (registration, interactions) and implicit (viewing times, usage frequency) data to build detailed user profiles.
• Intelligent Ad Campaigns: Enabled advertisers and partners to design campaigns with precise logic and objectives, supported by AI-driven targeting for both hyper-local and global audiences.
• Unified Portal: Provided a centralized content platform portal for seamless access and management.

Business impact:

The collaboration with KreedaLabs empowered KeCaps to:

• Deliver Personalized Experiences: AI-driven recommendations matched users with relevant content and ads in real time.
• Boost Advertising Effectiveness: ADV campaigns reached the right users on the right devices at the right time, increasing ROI.
• Streamline Content Management: Automated categorization reduced manual workload while ensuring accuracy.
• Leverage Scalable Technology: Advanced architecture and tech stack supported growth and high-volume demand.
• Enhance Market Position: Established KeCaps as a pioneering video entertainment platform offering both content and commercial value in a unique way.

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