Browse applications built on network planning and design technology. Explore PoC and MVP applications created by our community and discover innovative use cases for network planning and design technology.
KONEKTA is a game-changer in AI-powered digital connectivity, ensuring equitable access to knowledge, optimized network performance, and efficient digital resource distribution. KONEKTA is shaping the future of inclusive, AI-driven digital transformation.
An AI-powered system that diagnoses and resolves network issues in environments with poor connectivity and limited technical expertise.
𝗦𝗣𝗢𝗧 𝗖𝗼𝗻𝗻𝗲𝗰𝘁 leverages AI for predictive 𝗺𝗮𝗶𝗻𝘁𝗲𝗻𝗮𝗻𝗰𝗲, 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗺𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴, and 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗿𝗼𝘂𝘁𝗶𝗻𝗴 to 𝗥𝗲𝗱𝘂𝗰𝗲 𝗱𝗼𝘄𝗻𝘁𝗶𝗺𝗲 in 𝗽𝘂𝗯𝗹𝗶𝗰 𝘀𝗲𝗰𝘁𝗼𝗿 𝗻𝗲𝘁𝘄𝗼𝗿𝗸𝘀.
GeoNode AI is an open-source Flask web application that optimizes telecom node placement in underserved regions using AI-driven KMeans clustering, Sentinel-2 satellite imagery, and an interactive map with drag-and-drop functionality.
NetExpert offers an AI-driven, open-source solution for optimal network setups tailored to needs, budget, and location. With AI-powered recommendations, automated analysis, and transparent pricing, NetExpert ensures seamless, cost-effective connectivity.
An AI-driven solution that classifies schools based on connectivity needs and optimizes network expansion using mathematical modelling, reducing costs and ensuring scalable, reliable internet access with minimal investment.
An AI-powered system optimizing network energy in rural areas with unstable grids, using satellite data and ML for real-time monitoring, dynamic power-saving, and solar integration, cutting costs and ensuring sustainable connectivity.
G.E.N.E.O is a Application Function (AF) based on Genetic Algorithm (GA) supervised with Large Language Model (LLM), focused on planning, optimization, and configuration of Edge User-plane Function (UPF) in 5G SA (Standalone) scenarios.
AI-Driven Predictive Maintenance for Network Resilience. An AI-powered predictive maintenance system that leverages operational, connectivity, and geospatial data to predict network outages and equipment failures.
gNIPP uses RAG and Agentic AI technologies for network infrastructure analysis tool designed to provide insights into network tower distribution, coverage, and signal strength. It also serves a guide for procurement policies and infrastructure planning.
Transforming solar infrastructure into an intelligent solar network to bridge the connectivity gap in offgrid and rural areas by directly embedding AI agents in individual solarnodes powering rural communities
The project is about using open source platforms such as Python and MySQL together with AI intelligence platforms from IBM and Huawei so as to optimize public sector network management. We have selected the third track of optimizing resource allocation
NetworkDeployAI helps telecom operators repurpose existing pipeline sections (canalitzacions) from the Generalitat of Catalonia, enabling efficient network deployment. It reduces costs, ensures compliance, and improves connectivity for public services.
The Resource Allocation Optimizer is an AI-driven system designed to prioritize and allocate bandwidth in public sector networks. Using Groq's Llama API, it analyzes service requests, assigns priorities based on urgency.
An innovative solution for empowering underserved communities in managing their own network infrastructure. This presentation will explore the problem, solution, and potential impact of Maa Connect+.
An application, that utilises Llama model to analyze and predict network performances in different regions.
An AI assistant to prevent smuggling, supply chain theft, and fraud by offering guidance, tips, and monitoring tools, and an assistant providing recommendations on internet connectivity, cybersecurity, and software tailored to organizational needs.
Open Signal AI is a cutting-edge procurement automation platform that transforms bidding with AI-driven precision.
The Network Log Translator simplifies network errors for non-technical users. It provides clear explanations and troubleshooting tips in multiple languages. With options for text or voice input, it empowers individuals to resolve connectivity issues.
Optimise School internet access price performance ratio by benchmarking internet access measures (from Giga) with public internet access measures (Ookla) to show the education minister if improvement could be achieved with a new service provider contract.
AI Unified Network Optimizer for Public Connectivity" is a hybrid AI solution for strategic planning and real-time optimization of public networks.
Through leveraging AI and Hugging Face dynamic datasets, this project optimizes telecommunications deployment in climate-impacted regions through an interactive application.
EcoSphereAI: A sustainable AI solution for optimizing networks and reducing energy use. Features include energy efficiency, predictive maintenance, disaster risk assessment, and sustainability reporting for greener connectivity.
An AI/ML-powered Streamlit app for optimizing bandwidth usage in public sector schools and hospitals.
P.A.N.D.O.R.A.:Priority-Aware Network Planning AI is a Python-based project that utilizes a genetic algorithm to optimize network distributions. employs mutation operators on router coordinates and a single-point crossover for genetic operations.
MediConnect revolutionizes healthcare data management using blockchain, IPFS, and AI. . With decentralized storage, smart contract security, and AI-driven analysis, we empower transparency, innovation, and efficient decision-making.
Provide connection between nodes in graph via real time communication and analysis with some ML algorithms (Time Series, GNN)
NetForAll empowers underprivileged kids with fair internet access through AI-powered dynamic bandwidth allocation. Our solution prioritizes educational activities, ensuring efficient and equitable use of resources to bridge the digital divide.
AiScan uses AI to scan IPs, DNS, and Wi-Fi networks, uncovering vulnerabilities and offering insights to improve public sector networks. The Wi-Fi scan works locally for now, with plans to make it accessible online in the future.
The project designs cost-effective, sustainable school networks using geospatial data, renewable energy insights, and LLM recommendations, optimizing budgets with eco-friendly solutions.
