Empowering Online Communities with AI Video Analysis
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Empowering Online Communities with AI Video Analysis

30 November
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A leading social media platform for the skateboarding community sought to leverage AI to enhance user experience and drive engagement within their mobile app. The client’s online platform allows users worldwide to discover and share skate spots, learn new tricks, and connect with fellow skaters. The business was looking for a custom AI model to enhance the app functionality and attract new users.


Challenges

The client planned to integrate AI-powered trick recognition into their app, enabling automatic tagging of user-uploaded videos. This strategy presented two key challenges:

  • Accuracy:
    Existing AI models, including Gemini, struggled to correctly identify the nuances of skateboarding tricks.
  • Scalability:
    The solution needed to handle high volumes of user-generated video content, with uploads projected to reach 30,000 per day.

Zazmic was tasked with developing a custom machine-learning model to overcome these challenges, providing precise trick recognition while seamlessly integrating with the company’s existing infrastructure.


What We Offered


Zazmic stepped in to provide expert AI/ML engineers and data scientists to turn this innovative project to life. Our team leveraged Google Cloud Platform’s Vertex AI to create a custom solution. This involved:

  • Data Preparation: Our team worked closely with the client to gather and annotate a dataset of skateboarding trick videos, ensuring a “real-world scenario” representation.
  • AutoML Video Action Recognition: We used Vertex AI’s AutoML to train a high-performance trick recognition model, eliminating the need for the company’s team to develop Gen AI models on its own.
  • Batch Prediction Pipeline: By designing a scalable pipeline using Cloud Storage and Cloud Functions, we ensured efficient processing and analysis of user-uploaded videos.
  • Performance Monitoring: Lastly, our team implemented an evaluation process to track the model’s accuracy and identify areas for improvement over time.



Results

After partnering with Zazmic, the client experienced a significant increase in their app’s performance and capabilities. Here’s what our AI solution delivered:

  • Enhanced User Experience: Automatic trick tagging streamlines content creation, making it easier for users to share and discover new tricks.
  • Increased Engagement: Accurate trick recognition enables personalized content recommendations and challenges, fostering a more interactive community.
  • Scalable Growth: The robust pipeline supports the company’s expanding user base and growing video library.
  • Reduced Development Time: AutoML, implemented into the solution, significantly accelerates the model development process, allowing the company to focus on core app features.



Elevate Customer Experience and Drive Business Growth with AI!

Zazmic’s expertise in AI/ML, combined with a deep understanding of Google Cloud technologies, enables our team to deliver a truly innovative and impactful solution specific to your business. Contact us today and explore ways to harness the power of AI for your company.