Python GUI Developer for Network Bandwidth & Fault Forecasting

Job ID: 38201089

Budget: ₹1,500 – ₹12,500 INR

I'm in need of a skilled developer to create an interactive GUI for an academic project centered around network bandwidth forecasting and fault forecasting.

The python codes are available for both the modules i.e bandwidth forecasting and fault forecasting.

Bandwidth forecasting has following codes:-

Data synthesis - along with requisite parameters that needs to be asked from user
Four AI models - which will be trained on the synthesized data
Using these trained models - Forecasting to be done based on input from user
The data visualization has to be interactive...


Fault forecasting has following codes

Data synthesis - along with requisite parameters that needs to be asked from user
Three classification AI models - which will be trained on the synthesized data
One Forecasting AI models - which will be trained on the synthesized data
Using these trained models - Forecasting to be done based on input from user
The data visualization has to be interactive...

Key Requirements:
- Proficient in Python: Strong background in Python programming is a must.
- GUI Framework: I'm open to suggestions, but Django, Streamlit, or any other interactive GUI framework is preferred.
- UI/UX Design: I'm looking for a design that is custom and unique, so experience in creating innovative and visually appealing user interfaces is a plus.

The project aims to forecast network bandwidth and faults, and the GUI will play a crucial role in providing a user-friendly, efficient platform for data visualization and interaction.

Ideal Skills and Experience:
- Proven experience in Python development
- Experience with Django, Streamlit, or equivalent GUI frameworks
- UI/UX design skills for creating custom and unique interfaces
- Good understanding of network bandwidth forecasting and fault prediction will be advantageous

If you're a Python developer with a flair for GUI design and a keen interest in network data, I'd like to hear from you. Please provide examples of your previous work and your approach to creating unique and user-friendly interfaces.
Related categories: Python Django Machine Learning (ML) Streamlit