REAL-TIME WEATHER REPORT STREAMING WITH GRAPHS USING IOTID: 3435 Abstract :The Real-Time Weather Report Streaming System Using IoT Is Designed To Provide Accurate, Live Weather Updates With Graphical Visualization To Users Via Cloud Dashboards Like Thingspeak Applications. Traditional Weather Reporting Methods Rely On Centralized Meteorological Stations, Delayed Updates, And Limited Real-time Data. This Project Integrates Multiple Weather Sensors, Microcontrollers, And IoT Technology To Monitor And Stream Weather Parameters In Real Time. Temperature, Humidity, Light, Rainfall, And Air Quality Sensors Are Deployed To Capture Environmental Data Continuously. ESP32/ESP8266 Microcontrollers Process The Collected Data And Transmit It To Cloud Servers Using MQTT Or HTTP Protocols. The Cloud Platform Hosts Interactive Dashboards Displaying Graphs, Trends, And Real-time Weather Statistics, Allowing Users To Monitor Changes Dynamically. Alerts Can Be Triggered For Extreme Conditions Such As Storms, Heavy Rainfall, Or Abnormal Temperature Shifts. Historical Data Storage Enables Trend Analysis, Predictive Modeling, And Localized Weather Forecasting. IoT Integration Ensures That Multiple Locations Can Be Monitored Simultaneously From A Centralized Platform. Security Mechanisms Like Encrypted Communication And Authenticated Access Prevent Unauthorized Access And Ensure Data Integrity. The System Provides Visual Graphs For Temperature, Humidity, Light And Rainfall Over Time, Aiding Environmental Monitoring And Research. Overall, This IoT-based Real-time Weather Monitoring System Improves Data Accuracy, Reduces Human Dependency, Provides Actionable Insights, And Enables Timely Response To Adverse Weather Conditions. The Combination Of Embedded Electronics, Cloud Computing, Real-time Sensing, And Graphical Visualization Creates A Modern, Userfriendly Weather Monitoring Solution Suitable For Home, Agriculture, And Environmental Research Applications. |
Published:27-6-2026 Issue:Vol. 26 No. 6 (2026) Page Nos:1690 - 1705 Section:Articles License:This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. How to CiteK. Uma Rani, Miriyala Madhavi, Dk Anjali, Ponnam Pavan Kalyan, Poloju Kalyani, REAL-TIME WEATHER REPORT STREAMING WITH GRAPHS USING IOT , 2026, International Journal of Engineering Sciences and Advanced Technology, 26(6), Page 1690 - 1705, ISSN No: 2250-3676. |