Telesim Crowdsourced Network Analysis

Created by team last mile farming on October 20, 2024

Telesim is an innovative mobile application that revolutionizes how telecom companies and Internet Service Providers (ISPs) gather and analyze network performance data. By harnessing the power of crowdsourcing and artificial intelligence, Telesim transforms everyday users into network analysts, providing invaluable, real-time insights into network coverage and quality across various locations. The app allows users to capture images of their surroundings, input location details, and describe their environment. Telesim's advanced AI then analyzes these images alongside network condition data, creating a comprehensive picture of network performance in specific areas. This data is aggregated and provided to telecom companies and ISPs, offering them a cost-effective, accurate, and up-to-date view of their network's performance from the user's perspective. For telecom companies and ISPs, Telesim offers numerous benefits: 1. Cost-effective data collection compared to traditional methods 2. Real-time insights into network performance 3. Improved accuracy of coverage maps 4. Informed decision-making for network improvements Users also benefit from participating: 1. Opportunity to contribute to network improvements in their area 2. Potential rewards or incentives from telecom companies 3. Better understanding of local network conditions Telesim's competitive advantage lies in its unique combination of crowdsourcing and advanced AI analysis, providing both quantitative and qualitative data. The solution is scalable, improving with each new user, and effectively bridges the gap between user experience and network data. With the global telecom services market size at $1.7 trillion in 2023 and the growing demand for reliable, high-speed networks, Telesim is well-positioned to make a significant impact. Our revenue model is based on subscriptions for telecom companies and ISPs, with tiered pricing based on data volume and analysis depth.

Category tags:

"Cool application, built for edge runners. A little more detailed project would have been better"

avatar

Shebagi Mitra

Technical Mentor