• I had the pleasure of working with Anubhav on a blockchain project and can confidently recommend him as a developer on EVM (Ethereum Virtual Machine) compatible blockchains like Polygon. He demonstrated an excellent understanding of blockchain technology and was able to quickly write complex code that met the project requirements.

    Fabrice Goulven

  • Worked with Anubhav at Hitachi Energy on few projects. He had come up with various automation solutions and prototypes to improve the efficiency and productivity. He is an excellent trainer and has extensive knowledge on various technologies. I learnt about many things about Python, Data Science, Datathon Competitions, Blockchain, NFTs, and Metaverse from him.

    Sanjay Chandra Sikakollu

  • Anubhav demonstrated his technological savviness countless times by mastering the current tools and technologies in the area of DevOps. He was always full of ideas on how to improve the status quo. It was a real pleasure working together with him at OICT. I am looking forward to seeing the great things that Anubhav will achieve in his career.

    Zoltan Janota

  • I had the pleasure of working with Anubhav on a blockchain project and can confidently recommend him as a developer on EVM (Ethereum Virtual Machine) compatible blockchains like Polygon. He demonstrated an excellent understanding of blockchain technology and was able to quickly write complex code that met the project requirements.

    Fabrice Goulven

  • Worked with Anubhav at Hitachi Energy on few projects. He had come up with various automation solutions and prototypes to improve the efficiency and productivity. He is an excellent trainer and has extensive knowledge on various technologies. I learnt about many things about Python, Data Science, Datathon Competitions, Blockchain, NFTs, and Metaverse from him.

    Sanjay Chandra Sikakollu

  • Anubhav demonstrated his technological savviness countless times by mastering the current tools and technologies in the area of DevOps. He was always full of ideas on how to improve the status quo. It was a real pleasure working together with him at OICT. I am looking forward to seeing the great things that Anubhav will achieve in his career.

    Zoltan Janota

We developed a voice transcription system for XAQT, using a combination of advanced technologies such as NVIDIA-RIVA server and client (in the form of Docker images), the Flask Python web framework, socket scaling, Kubernetes for orchestration, and MLOps pipelines via GitHub Actions.

We developed a voice transcription system for XAQT, using a combination of advanced technologies such as NVIDIA-RIVA server and client (in the form of Docker images), the Flask Python web framework, socket scaling, Kubernetes for orchestration, and MLOps pipelines via GitHub Actions.

VOICE TRANSCRIPTION SYSTEM

VOICE TRANSCRIPTION SYSTEM

VOICE TRANSCRIPTION SYSTEM

VOICE TRANSCRIPTION SYSTEM

Key Features

Agility

Continuous integration and deployment of machine learning models, ensuring the voice transcription system is always up-to-date and performing at its best.

Scalability

The ability to process large volumes of audio data quickly and accurately, improving overall efficiency and productivity.

Precision

Improved accuracy of voice transcription, leading to better quality data and insights.

Alerts

Real-time monitoring and feedback, allowing for quick identification and resolution of any issues.

Using MLOps pipelines via GitHub Actions, we were able to continuously integrate and deploy machine learning models, ensuring that the transcription system was always up-to-date and performing at its best. Overall, our voice transcription system enabled XAQT to process large volumes of audio data quickly and accurately, improving their overall efficiency and productivity.

Using MLOps pipelines via GitHub Actions, we were able to continuously integrate and deploy machine learning models, ensuring that the transcription system was always up-to-date and performing at its best. Overall, our voice transcription system enabled XAQT to process large volumes of audio data quickly and accurately, improving their overall efficiency and productivity.

Using MLOps pipelines via GitHub Actions, we were able to continuously integrate and deploy machine learning models, ensuring that the transcription system was always up-to-date and performing at its best. Overall, our voice transcription system enabled XAQT to process large volumes of audio data quickly and accurately, improving their overall efficiency and productivity.

Using MLOps pipelines via GitHub Actions, we were able to continuously integrate and deploy machine learning models, ensuring that the transcription system was always up-to-date and performing at its best. Overall, our voice transcription system enabled XAQT to process large volumes of audio data quickly and accurately, improving their overall efficiency and productivity.

About

About

About

Want to Create something like this ?

Want to Create something like this ?

Share your requirements and app idea with us. Our experienced developers will work closely with you to create a tailored solution that fits your business perfectly. Let's bring your dream app to life!

Share your requirements with us. We have experienced developers who can develop custom dating solutions as per your custom business requirements.Discuss Your App Idea