Parallel Pilot

• 

  System Architecture

Inspiration

• Unable to handle heavy computational tasks on my laptop, I decided to develop this project. The goal is to enhance efficiency for myself and others by tapping into the computational capabilities of their systems.

What it does

• It enables the distribution of heavy computational workloads to capable machines that we cannot handle. The process is effective, secure, and accelerates the task, enhancing overall performance.

Challenges we ran into

• The primary challenge we encountered was managing sockets; it was time-consuming and challenging to trace errors in socket programming. However, this experience proved instrumental in deepening my understanding of sockets.

Accomplishments that we're proud of

• We were particularly focused on dynamically updating the progress, specifically the number of rendered frames, utilizing sockets in the process. This required extensive googling and searching for effective solutions. Achieving this took a significant amount of time, but the effort was entirely worthwhile.

  What we learned

• Socket Programming, Network Connectivity are the main things we learned from this hackathon

What's next for Parallel Pilot

• Integrating a jupyter notebook with cloud storage to store the datasets, models and other program files to work on the go.
• Implementing a remote kernel so that clients can use the service from their favourite IDEs

Built With

• api
• fastapi
• python
• react
• socket
• socket.io