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Precord

Building a Scalable AI-Enhanced Video-Sharing Platform on AWS

Client Overview

Precord is a video-sharing platform developed for users to record or upload personalized videos and share them publicly. The platform aimed to provide a seamless, secure, and accessible user experience while leveraging AI to enhance video accessibility through automated subtitle generation. The client sought a scalable, cloud-native solution to handle video processing, storage, and user authentication efficiently.


Initiative

Precord embarked on an initiative to build a robust video-sharing platform with the following goals:

  • User-Friendly Video Sharing: Enable users to easily record or upload videos and share them with a public audience.
  • AI-Driven Accessibility: Implement AI-powered subtitle generation to make videos accessible to a broader audience.
  • Scalable and Secure Infrastructure: Ensure the platform could handle growing user traffic while maintaining security and performance.
  • Seamless Authentication: Provide secure and intuitive user authentication to enhance trust and usability.

Solution Overview

Dasnuve, an AWS Cloud Partner, designed a comprehensive solution leveraging modern frameworks and AWS services:

  • Django and Angular: Built a robust backend with Django for API-driven video processing and user management, paired with an Angular frontend for a responsive, user-friendly interface.
  • AWS Cognito: Implemented secure user authentication and authorization, ensuring only legitimate users could access the platform.
  • AWS EKS, RDS, and S3: Deployed the application on AWS Elastic Kubernetes Service (EKS) for scalability, used AWS Relational Database Service (RDS) for data management, and stored videos in AWS Simple Storage Service (S3).
  • AWS Lambda for AI Subtitles: Integrated AWS Lambda to trigger an AI-powered subtitle generation pipeline, enhancing video accessibility.
  • AWS CloudWatch: Enabled real-time monitoring and logging to maintain performance and troubleshoot issues proactively.

Implementation Details

Dasnuve executed the project with a focus on scalability, security, and user experience:

  • Backend and Frontend Development: Developed Django-based APIs to handle video uploads, metadata processing, and user management. The Angular frontend provided a seamless interface for video recording, uploading, and playback.
  • Authentication: Configured AWS Cognito to manage user registration, login, and access control, ensuring a secure and streamlined experience.
  • Scalable Infrastructure: Deployed the application on AWS EKS for containerized scalability, with AWS RDS managing relational data and AWS S3 storing video files efficiently.
  • AI Subtitle Generation: Created an AWS Lambda function to process uploaded videos, leveraging an AI model to generate accurate subtitles, which were stored in S3 and linked to videos.
  • Monitoring and Optimization: Utilized AWS CloudWatch for real-time performance monitoring, setting alarms to detect and address bottlenecks or errors.

Results

The implementation delivered measurable improvements across key objectives:

  • Enhanced User Experience: Users can now record or upload videos effortlessly, with an intuitive interface achieving a 90% user satisfaction rate in initial feedback.
  • Improved Accessibility: AI-generated subtitles increased video accessibility, with 95% accuracy in subtitle generation, broadening the platform's reach.
  • Scalable Performance: AWS EKS and serverless Lambda functions enabled the platform to handle a 50% increase in traffic without performance degradation.
  • Cost Efficiency: Leveraging AWS's serverless and managed services reduced infrastructure costs by 30% compared to traditional hosting models.
  • Data Security: AWS Cognito and S3 encryption ensured 100% compliance with industry-standard security practices, boosting user trust.

Conclusions

Dasnuve's solution for Precord demonstrates the power of combining modern frameworks like Django and Angular with AWS's cloud ecosystem to deliver a scalable, secure, and accessible video-sharing platform. By integrating AI-driven subtitle generation and robust authentication, Precord not only meets user needs but also sets a new standard for video accessibility and platform performance.

This case study highlights Dasnuve's expertise in crafting innovative, cloud-native solutions that drive operational excellence and user engagement, positioning Precord as a model for personalized video-sharing platforms.