Smart NET AI
Inefficient network planning and unmanaged traffic congestion hinder public connectivity, especially in underserved areas. Existing methods fail to strategically place infrastructure or classify network traffic for better bandwidth allocation. Our project, "AI Unified Network Optimizer for Public Connectivity," predicts the optimal placement of network towers and infrastructure using geospatial and demographic data. Machine learning models classify network traffic by type, enabling smarter prioritization and paving the way for AI-driven bandwidth optimization in the future. This hybrid solution combines strategic planning and real-time insights, providing a scalable and cost-effective approach to enhance public connectivity.
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"Love the application of real time generation, but needed a more well rounded solution. But I still like the application. Great presentation as well"
Shebagi Mitra
Technical Mentor
" I was looking for a more comprehensive solution as well. Still I really like the concept"
Theodoros Ampas
Technical Mentor
For Innovators & Creators