What it does
This app analyzes real-time weather data based on users' GPS locations and tracks location-specific conditions. Users can earn points by submitting weather data, encouraging active participation.
Your inspiration
Our idea originated from the disconnect between weather forecasts and actual conditions. Existing forecasts struggle to account for issues like global warming and climate anomalies, relying on outdated data. Moreover, forecasts based on data from 10 minutes ago cannot reflect sudden weather changes. In South Korea, the 'Weather Nuri' site provides real-time weather data but fails to engage users due to a lack of awareness and participation. We sought to address these problems.
How it works
When users access the app, they are prompted to respond to questions. These questions are based on objective weather data related to the user's location and time. This allows the collection of both location and weather data simultaneously. The collected data is then sent to the server, where it is processed and filtered through an AI algorithm that performs real-time updates and removes outliers to provide accurate weather information. As a result, users not only earn points by viewing ads but also receive visualized real-time weather information. Additionally, a comprehensive weather forecast integration service is provided.
Design process
We have conceived an idea to develop a system that complements the limitations of the current weather forecasting system and enhances forecast accuracy through real-time weather data. The system aims to fill the data gaps of existing weather stations by utilizing real-time data provided by users and improving the accuracy of forecasts. So far, the development process has focused on idea formulation and initial planning. We have analyzed the limitations of existing weather stations and conceptualized a mobile app that addresses these limitations. This app will use GPS to determine the user's location and automatically collect weather data to send to a server. Additionally, we are considering integrating the collected data with existing weather forecasting systems and preparing an algorithm to improve forecast accuracy through the use of real-time data. In the future, we plan to enhance the system by incorporating user feedback and utilizing machine learning models to further improve forecast accuracy. Currently, the system is in the design and planning phase, and we are preparing for prototype development.
How it is different
The current app combines the technology for obtaining real-time information with the concept of 'PhoneTech,' which allows users to earn points through their phones. In South Korea, the 'Weather Nuri' site, and in the U.S., the 'MPing' site, are examples of platforms that collect real-time weather data. However, a limitation exists due to low user motivation and the small number of users. In South Korea, PhoneTech downloads range from at least 100,000 to a maximum of 10 million, making PhoneTech a strong motivator for user engagement. By combining these two elements, we can overcome the limitations that each individually faces. Furthermore, the data obtained through real-time information can be turned into an API, which could improve the accuracy of future weather forecasts.
Future plans
The initial goal is to target 100,000 users in each country. In the beginning, we plan to attract users through ads and generate revenue from those ads. Once we reach the break-even point and achieve a certain level of profit, we will integrate the existing weather tech with real-time weather information and forecasts, allowing users to see both. This will also enable us to provide more accurate weather data to those in weather-sensitive professions using real-time data. Additionally, real-time information will be used to further advance AI-based weather prediction technology.
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