Real-Time Fire/EMS Dispatch Monitor for macOS

@opencollar

Hi, I love building apps that make complex tasks simple. Fire and EMS dispatch info is critical and timely alerts make a big difference. I can handle continuous feed monitoring, tone detection, quick transcription, and instant notifications through Telegram. By using efficient libraries, I’ll ensure it stays fast and responsive, triggering alerts immediately after dispatch tones. Have you considered how you want to handle false alarms or overlapping dispatches? Let’s chat about your ideal workflow so we can craft something reliable together. Regards, Nick. I’ve worked on projects like the Car Fleet Management system and the Freetemp booking app, making fast, reliable apps for real-time updates.

@Hammadhassan21

Hey there, Building a real-time Fire/EMS dispatch monitor with fast alerts requires prioritizing low latency audio handling over perfect transcription. I’d create a macOS app with stream monitoring, tone detection, speech-to-text extraction, Telegram bot notifications, and a local dashboard. Starting recording immediately after the dispatch tones will help preserve the exact audio needed for quick verification. I’ve worked on real-time processing systems involving audio streams, automation, APIs, and notification workflows. I’d include reconnect handling, logging, and recovery checks so the service can run continuously without silent failures. Do you already have the Telegram bot configured, or should that be included in the setup? Looking forward to collaborating with you. Portfolio: https://www.freelancer.com/u/Hammadhassan21 Best regards, Hammad Hassan...

@gotucat

Hi, I reviewed your request to build a private macOS desktop monitor that watches the Broadcastify Fire/EMS audio feed, detects the two dispatch tones, then immediately runs real-time speech-to-text to extract call details and push Telegram alerts to your iPhone for selected units. I’ll build the macOS app to continuously stream and reconnect on disconnect, trigger processing right after tones, prevent audio backlog with fast pipeline handling, and store structured fields like date/time, unit(s), nature, address, and cross street along with the original dispatch recording. I’ll keep it reliable for 24/7 use with automatic recovery, clear logs for detection/transcription/notification, and a simple dashboard for search and filtering. Let’s discuss here now.

@zainalitariq245

Respectfully, the key challenge in this project is not just transcription but achieving a low-latency pipeline from tone detection to notification delivery while keeping the system reliable for continuous 24/7 operation. I noticed that you prioritize speed over perfect transcription, which is the right trade-off for emergency dispatch monitoring where receiving the alert within seconds matters most. I've worked on automation systems involving real-time data processing, speech-to-text workflows, notifications, and monitoring dashboards. My approach would be to build a lightweight macOS service that continuously captures the stream, detects dispatch triggers, processes audio segments, extracts structured information, and sends Telegram alerts with the original recording attached. I would design the system with automatic recovery, detailed logging, and a local dashboard for reviewing dispatch history, recordings, and extracted data. The architecture would focus on avoiding audio backlog and ensuring the service can run for extended periods with minimal maintenance. is the Broadcastify feed accessible through a direct audio stream URL/API, or will the application need to handle browser-based playback extraction? Portfolio: https://www.freelancer.pk/u/zainalitariq245 I'm available to discuss the project whenever it's convenient for you. Thanks.

@rbtech1984

Hello!! Hi, Got your requirements, and can build a reliable macOS application that monitors the Broadcastify Fire and EMS feed, detects dispatch tones, transcribes announcements in real time, extracts call details, records dispatch audio, and instantly sends Telegram notifications for your selected units. • Do you already have the list of unit numbers you want to monitor? • Should the dashboard be accessible only on your Mac or from your phone as well? • Do you want the audio recordings stored for a specific number of days? This solution will focus on speed, stability, and continuous operation with automatic reconnect, recovery, detailed logs, searchable call history, and fast Telegram alerts with the original dispatch recording. Have completed similar real time monitoring and automation projects, and always build solutions that run smoothly with minimal maintenance. Your budget and timeline are achievable, and I would be happy to discuss the best approach. Looking forward to discussing your project in chat. Best regards Farhin B

@bcosley

Hi, You're building a private macOS app that continuously monitors a public scanner feed, detects dispatch tones, transcribes in real time, and notifies your iPhone via Telegram. That kind of live ingestion and alerting is a familiar pattern from field ops dashboards and streaming audio workflows. I’d start by validating the feed connection and two-tone detection on a sample, then lock onto the transcription path and a lightweight extractor for date/time, units, nature, and address, with minimal buffering to avoid backlog. One technical risk / key challenge: keeping latency low while handling occasional feed hiccups and reconnections. Two clarification questions: 1) Should the Telegram notification include a fallback if the bot is temporarily unavailable? 2) How should we treat ambiguous addresses or unclear cross streets when transcripts are noisy? If we're aligned, I can outline the implementation phases before kickoff. Best regards, Brandon

@mobiwebsolutions

✋ Hi There!!! ✋ THE PROJECT GOAL: BUILD A RELIABLE 24/7 MACOS FIRE AND EMS DISPATCH MONITOR WITH REAL TIME AUDIO PROCESSING, TRANSCRIPTION, FILTERING, AND TELEGRAM ALERTS. Experienced in audio processing, speech recognition, desktop applications, automation, and real time notification systems. 1. Monitor Broadcastify continuously with dispatch tone detection and auto reconnect. 2. Transcribe dispatches and extract units, nature, address, and cross street. 3. Record original dispatch audio and attach it to filtered Telegram alerts. 4. Build a local dashboard with call logs, search, filters, and recordings. 5. Add recovery, health logs, and reliable long running processing without backlog. Similar real time monitoring and audio processing systems have been completed with automated alerts and searchable dashboards. <-- Questions --> 1. Should Telegram Bot API be the only notification channel? 2. Which macOS version should the application officially support? Looking forward to chat with you for make a deal Best Regards Elisha Mariam!

@denisSolution

Hi, It looks like the main challenge is reliably detecting the dispatch tones, processing the audio stream in real time, and keeping the pipeline fast while running 24/7 on macOS. From the sound of it, the transcription quality can be secondary to speed, and the app should just recover quickly if anything stalls. I’ve built similar real-time audio processing apps before, where the tricky part is keeping the flow stable when the source stream isn’t perfectly clean. I can set up a native macOS app that pulls the scanner feed, detects the two tones reliably, and uses a local speech-to-text engine to transcribe the dispatch. The app would write the raw audio to disk immediately after the tones, then extract the structured data so only the relevant notifications are sent to your iPhone via Telegram. The part that usually needs extra care is handling stream interruptions—making sure the reconnect logic is simple but thorough, and logging any gaps so you can spot if a dispatch was missed. I’d also keep the local web dashboard lightweight, just enough to review the call log and recordings without adding unnecessary complexity. One unknown is how consistent the scanner feed’s tone detection will be—if the tones vary slightly or background noise interferes, we may need to adjust the detection threshold once live. Another is Telegram’s API reliability for push notifications, so I’d add retries and logging in case the bot stalls. Thanks, Denis

@chiragpipal

⚠️ If you're not happy, you don’t pay. ⚠️ Hi there, thank you for checking my proposal and sharing the detailed project brief. I can build your macOS application using Swift and WebRTC with a fast and reliable design. I will deliver: • Continuous monitoring of the Broadcastify scanner feed • Real-time detection of dispatch tones • Speech-to-text transcription with structured extraction (date, unit, incident type, address) • Push notifications to your iPhone via a Telegram bot • Recording of dispatch audio for verification • Local web dashboard for viewing call logs and recordings • Automatic reconnection and maintenance-free reliability • Detailed logs for monitoring dispatch events You will also receive documentation and a quick training session for smooth usage. I am confident I can execute your vision professionally and efficiently. Looking forward to discussing timeline and next steps. Best regards, Chirag.

@mughiraaa

Hello, I have already completed similar real time monitoring and automation projects and have strong experience in web development, APIs, and scalable software solutions. I can quickly understand your requirements and deliver exactly what you need. I can create a macOS application that continuously monitors the scanner feed, detects dispatch tones, processes audio in real time, extracts the required details, sends Telegram notifications with the original dispatch recording, and includes a local dashboard with search, filtering, logs, and reliable recovery if the stream disconnects. Do you already have a preferred speech to text service for transcription, or would you like me to recommend the best option for speed and accuracy? I would be happy to share similar projects and discuss your requirements in a quick meeting. I will share my portfolio in chat I look forward to hear from you. Thanks Best Regards, Mughira

@jagratip3

Hi, Fixed Price: $1,000 USD Estimated Timeline: 10–14 days Start: Immediately I can build this macOS-based Fire/EMS dispatch monitoring system within your $1,000 USD fixed budget. I understand that speed and reliability are the priorities. I can develop a lightweight service that continuously monitors the Broadcastify feed, detects the dispatch tones, captures the audio, performs real-time speech-to-text, extracts the units, nature, address, cross street, date/time, and filters notifications based on your selected units. The system can send immediate Telegram bot notifications with the structured call details and original dispatch recording, while maintaining a searchable local dashboard with call history, recordings, filters, and detailed processing logs. I’ll also include automatic stream reconnection, recovery handling, error logging, and long-running background processing so the service can operate reliably for extended periods. I’m ready to discuss the feed access, preferred transcription approach, Telegram setup, and notification format and start right away.

@jeanpatrickr8

Hello, I appreciate the opportunity to bid on your project to develop a macOS application for monitoring the Fire/EMS scanner feed. I understand that you need a reliable tool that detects dispatch tones, transcribes audio in real-time, and sends immediate notifications to your iPhone for specific units. With over five years of experience in application development and expertise in audio processing and real-time data handling, I am well-equipped to build this solution. I have worked extensively with streaming audio and notification systems, ensuring low latency and high reliability. To achieve your project goals, I propose the following approach: - Set up a continuous monitoring system for the Broadcastify scanner feed, ensuring it operates 24/7 with automatic reconnection features. - Implement a fast and efficient speech-to-text transcription mechanism that triggers immediately upon tone detection. - Develop a notification system that integrates with Telegram to send timely alerts, including dispatch details and audio recordings. - Create a user-friendly local dashboard for easy access to call logs and filtering options. I am excited to start this project and confident in my ability to deliver quality results within your budget of $1,000. I am available to discuss further details and provide an estimated timeline for the project. Looking forward to your response!

@ravinder521986

Hello With 15+ years of experience, I can develop a reliable macOS desktop application that monitors the Broadcastify scanner feed 24/7, detects dispatch tones, performs real-time transcription, extracts dispatch details, records audio, and instantly sends Telegram notifications with the dispatch recording for your selected units. The solution will include automatic reconnection, detailed logging, a searchable local dashboard, and a robust architecture designed for continuous operation with minimal maintenance. You will get everything under one roof—Desktop Applications, Mobile Apps, Websites, UI/UX, and Figma—with high-quality, reliable solutions. Lets have a quick call Thank you Ravinder

@NEHABHAT92

With over 9+ years of experience in Mobile and Web Development, I am confident that I can exceed your expectations for this project. My team and I are well-versed in Android, iOS, Mobile Phone, Java, PHP, HTML/HTML5/CSS, Wordpress and more - all of which are essential for creating a custom macOS application such as the one you are looking for. Additionally, we specialize in providing bug-free work that is compatible with multiple browsers and offer free after-delivery support for 3 months. Now let's delve deeper into my suitability for your project. Speed and reliability are the forefront of your requirements. Having worked with numerous real-time applications before, I understand the importance of quick response time without compromising on performance. As you mentioned, we will prioritize getting you notifications without any delay rather than perfect transcriptions. Moreover, our understanding of mobile development will ensure that the information sent to your iPhone via telegram using a bot is not only swift but also accurate. We can create a format for the notification so that when one of your selected units is dispatched it will provide you with all the necessary details including unit(s) dispatched, incident type, address and original dispatch recording to listen to right away We can also design a user-friendly local dashboard to log all calls and give you the ability to easily filter through them based on date & time, incident type or units dispatched. A

@umer419

Hello, I checked your project "Real-Time Fire/EMS Dispatch Monitor for macOS" and already have a clear understanding of your requirements and how to deliver them efficiently. I have solid experience in Mobile App Development, Web Development, and I've successfully completed similar projects by delivering high-quality, scalable, and reliable solutions. Why choose me? * Strong expertise in Mobile App Development, Web Development * Clean, optimized, and scalable implementation * Fast communication and regular progress updates * Focused on delivering results, not just completing the task I'm ready to start immediately and would be happy to discuss the details. Best regards, Umer

@yuan38

Hi, I can complete this efficiently and on time. To summarize, I will develop a private macOS desktop application that monitors the St. Louis County Fire & EMS – South scanner feed, detects dispatch tones, transcribes audio in real-time, and sends push notifications to your iPhone for selected units. The application will prioritize speed and reliability, ensuring immediate notifications upon dispatch. Additionally, I will integrate a Telegram bot for notifications, including unit details, incident type, address, cross street, and original dispatch recordings. For the local dashboard, I will create a web-based interface displaying call logs, incident details, units dispatched, and audio recordings with search and filtering functionalities. The application will run continuously, automatically reconnecting and recovering if needed, with detailed logs for transparency. I have experience in real-time audio processing and notification systems, ensuring seamless operation. I look forward to discussing further details and recommendations to enhance the solution. Cheers, Yuan.C I have a few technical questions and some recommendations that I believe could improve the overall solution. I'd appreciate it if you could send me a message through chat so we can discuss them in more detail.

@codeandcommand

The tricky part is parsing live dispatch audio into structured alerts without dropping calls during busy hours. I'd build it as a native macOS app, audio capture feeding speech recognition into a local database. I can start today and have a working prototype by Friday. These numbers are early estimates from the post, we'll firm them up after a scope talk. I can build a free demo of the audio parsing piece first so you can judge accuracy before deciding.

@chetanprajapat

As an experienced developer with over a decade of hands-on experience across web, mobile, and software engineering, I am confident that I am uniquely equipped to address your project's complex requirements. My skills in mobile app development are particularly relevant given your preference to send notifications via Telegram on your iPhone. In addition to mobile app development, I have proven expertise in building backend systems, RESTful APIs, and third-party integrations- skills crucial for this macOS desktop application which demands reliability and speed. One of my notable strengths is my business-first mindset. Throughout my career, I've approached each project with a keen understanding that technology serves an ultimate purpose of improving efficiency and increasing revenue. Hence, my focus would be on ensuring the highest speed and reliability while processing the dispatches from the scanner feed. Moreover, I am no stranger to listening closely to client preferences and translating them into reality even when their requirements shift mid-project. For instance, if you make any changes on what might be transcribed and extracted from the dispatches, I'll ensure the necessary changes are made seamlessly in a way that doesn't compromise on the application's reliability.

@mayr81

Build a reliable macOS desktop dispatch monitor that runs 24/7, detects the two pre-dispatch tones, then instantly starts streaming speech-to-text, extracts date/time, unit(s), nature, address, and cross street when spoken, and triggers immediate iPhone alerts via Telegram bot for only the selected unit numbers. Prioritize speed over perfect transcription to avoid any backlog after long uptime. I’ll implement: continuous Broadcastify feed monitoring with automatic reconnect, tone-triggered low-latency transcription pipeline, structured extraction with confidence handling (and always attach the original dispatch audio recording for verification), plus a lightweight local web dashboard for searchable call logs and status/reliability. Estimated timeline: 2-4 weeks (MVP to working end-to-end notifications), then hardening for 24/7 reliability. Estimated cost: up to $1,000 USD (final scope tied to feed stability and tone detection accuracy).