BandOptimizer
BandOptimizer is an innovative AI/ML-powered web application designed to optimize bandwidth usage for public sector schools and hospitals. Built with Streamlit, the app provides administrators with actionable insights by analyzing uploaded CSV files containing network data. With the power of predictive analytics, bandOptimizer categorizes bandwidth usage patterns, helping organizations manage resources more efficiently and reduce costs. The app features an intuitive interface, making it accessible for non-technical users, and includes sample datasets to ensure ease of testing. By leveraging modern technologies like Python, Pandas, and Matplotlib, bandOptimizer empowers users to make data-driven decisions for improving network performance and optimizing resource allocation.
Category tags:
"Concept is solid and relevant, if not new, but underdeveloped. The submission doesn't include sufficient information for evaluation, but I would encourage the team to apply to another of the hackathons in our series to continue developing it. "
.png&w=96&q=75){kind=small}
Maria Antonia Bravo
"good idea, but you needed to make a pitch ppt to explain your project and sow a demo."
Walaa Nasr Elghitany
Lablab Head Judge
"The demo unavailable and the project needs more fleshing out with the idea to make it more clear and have clarity. Keep working on it"
Shebagi Mitra
Technical Mentor
"It is a solid concept, though not new. Would have been great to see the demo to assess the technical feasibility of the solution"
.png&w=96&q=75){kind=small}
Anastasia Nedayvoda
For Innovators & Creators