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  • Rating 103

Budget: 1000 USD Deadline: 10 days

Hello. Ready to start the project. All requirements are clear

  • Projects 61
  • Rating 5.0
  • Rating 8 706

Budget: 1000 USD Deadline: 30 days

Hello,
I am ready to take on this project.
I have experience in implementing similar projects and write in Python. I currently hold 3rd place on the platform.

I will implement all the required features: video processing using FFmpeg (H.264, VP9, AV1), thumbnail generation, resolution adjustment, Wasabi integration, and creating a scalable architecture. I guarantee secure authorization, stable task processing, and comprehensive documentation (including Swagger).

Here is my portfolio: Freelancehunt
Feel free to reach out to discuss the details, and I’ll get started right away.

  • Projects 23
  • Rating 5.0
  • Rating 1 329

Budget: 1000 USD Deadline: 10 days

Good afternoon,
I will use the Go programming language to implement the microservice. I have previous experience creating microservices, so I will complete the task quickly and efficiently. Let’s get in touch to discuss the details.

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  • Rating 166

Budget: 1000 USD Deadline: 10 days

Hi, Jean Claude Jc Cournoyer.
My name is William Martin, and I am a full-stack developer with experience across a range of technologies, including DevOps, React, Next.js, Express, Python, Artificial Intelligence (AI), and Computer Vision (CV). I’ve worked on projects that required building scalable architectures, efficient APIs, and seamless integrations. I am confident in delivering an efficient solution tailored to your needs.

For the backend, I propose using Python, combined with either FastAPI or Flask. Python’s extensive ecosystem provides powerful libraries for video processing (such as FFmpeg, OpenCV, and MoviePy) and AI tools (TensorFlow, PyTorch), making it ideal for this microservice.

To boost efficiency, we can integrate AI solutions for tasks like content moderation, video enhancement, and intelligent automation. Leveraging OpenAI APIs or custom AI models will bring advanced capabilities to the system.

Based on my experience, this technology stack is reliable, scalable, and well-suited for building a microservice with complex processing tasks.
I think we can use Docker, Nginx, Consul and Kubernetes for building microservice architecture.
For logging and monitoring, I suggest two potential options:

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