Finalize Python/Asterisk Autodialer Integration

@toriquldev123

Hello There! I’m Md Toriqul Islam, and I’m excited to partner with you. I have strong experience in Python, Asterisk, ARI/AMI, PJSIP, real-time audio processing, STT integrations, and telephony automation. I am skilled in Python, Asterisk 22, ARI, AMI, MixMonitor, DTMF, PJSIP, RTP, Deepgram/STT, and real-time call-state management. I understand you need the existing Python/Asterisk autodialer completed—not rebuilt. I can inspect the current codebase and connect the existing IVR state machine with the working live transcription and DTMF systems so calls can react to IVR prompts in real time. I have a few questions: 1) Which CRM are you currently using, and do you already have the required API/integration credentials? 2) Do you have a preferred WordPress builder such as Elementor, Divi, or Gutenberg? 3) How many landing pages are you planning to build after the pilot page? I’m ready to review the existing source code, logs, and configuration and start immediately. Looking forward to hearing from you. Best regards, Md Toriqul Islam

@PrateekP3003

With over a decade of experience under my belt, I have the tenacity and skill set you need to resolve the complexities of your Asterisk autodialer integration. As an AI expert, I regularly work with intricate, integrated systems like yours. My hallmark is building AI models that work in real-world scenarios, just like your autodialer. I fully understand the issues that can arise during deployment and what it takes to tackle them head-on. What sets me apart is not just my ability to write clean Python code, but also my holistic approach towards solving problems. In this regard, I offer a comprehensive skill set that aligns closely with your project requirements: from ARI/AMI understanding necessary for your dialer to interact smoothly with Asterisk components to deep knowledge about PJSIP/VMGate trunking — I have everything you need. Additionally, as someone who values communicating progress and delivering functioning results promptly, I provide ongoing updates on the progress of the project. Further, with intricate systems like yours, maintenance and support even after deploying is crucial in ensuring its longevity; something you can rely on me for. Equip me with your existing codebase and server access details; together we will improve and finalize the remaining parts while preserving what already works. Let's transform your functional system into an exceptional one!

@dataspro

Nice to meet you , It is a pleasure to communicate with you. My name is Anthony Muñoz, I am the lead engineer for DSPro IT agency and I would like to offer you my professional services. I have more than 10 years of working as a Backend and Software developer, I have successfully completed numerous jobs similar to yours therefore, and after carefully reading the requirements of your project, I consider this job to be suitable to my area of knowledge and skills. I would love to work together to make this project a reality. I greatly appreciate the time provided and I remain pending for any questions or comments. Feel free to contact me. Greetings

@Hrolgar

VMGate, MixMonitor, DTMF and Deepgram STT already independently verified means the expensive part is done, what's left is wiring, not a rebuild. The IVR state machine needs to react to two live streams instead of sleeping through fixed delays, AMI DTMF events on one side and whatever Deepgram streams back on the other. Neither needs the call flow touched, the state machine just needs to hold open subscriptions and fire transitions on event arrival instead of polling or waiting out a timer. My approach keeps the VMGate trunk, MixMonitor recording and DTMF transmission exactly as they are, and adds an event listener layer between AMI/ARI and the state machine so each state's wait becomes a callback bound to a digit or a transcription result, with the existing delay logic kept as a fallback timeout rather than the primary trigger. That limits the blast radius to the decision points, not the paths already working. 700 USD over 6 days, split so the trickiest wiring gets tested first: M1: AMI DTMF events wired in, digit driven transitions replacing fixed delays, $230, 1 day. M2: Deepgram streaming output wired in for transcript driven transitions, $250, 3 days. M3: End to end pass on a live call, tuning fallback timeouts and edge cases, $220, 2 days. That split is my read off the brief, the number that would move it is how much of the state machine already exposes hooks to bind into versus how much needs adding, which I'd know within an hour in the code.

@engruhulajom

Dear Client, I’m an experienced Python/backend developer with 10+ years of experience, including real-time systems, API integration, Linux servers, and communication workflows. I understand you need to finish the existing Asterisk 22 autodialer by connecting the current IVR state machine with live Deepgram STT, DTMF, and ARI/AMI call control, without rebuilding working components. I can inspect the existing code, preserve verified functionality, implement real-time IVR reactions, troubleshoot RTP/media behavior, and thoroughly test the complete call flow on Debian 12. My skills include Python, Asterisk, ARI/AMI, PJSIP, Linux, real-time APIs, STT, and debugging. Questions: 1. Is the existing Deepgram live STT code already receiving continuous RTP audio? 2. Can you provide the technical handoff and current logs? Best regards, Md Ruhul

@rofeald

Hello, I have 9 years of experience in Python and have worked on various projects involving Asterisk integration. I understand the requirements of your project to finalize the Python/Asterisk autodialer integration without rebuilding it from scratch. I will carefully inspect the existing code, preserve the functional components, and focus on connecting the IVR state-machine to the live audio and DTMF system for real-time call control. I am confident in providing a professional solution that aligns with your project description. I would like to connect with you in chat to discuss further details about your project and how I can assist in completing the integration successfully. Best regards

@rimiloca

Hi, I reviewed your Finalize Python/Asterisk Autodialer project. I can handle the implementation with Python, PHP, Node.js, SQL, Linux, and REST APIs as appropriate, including debugging, integration work, testing, and deployment. I would first confirm the current architecture and acceptance criteria, then deliver the work in clear, testable stages. I am available around 30 hours per week and can start with the highest-risk technical part first.

@feitosayrikes

Project Title: Finalize Python/Asterisk Autodialer Integration Project Description: Yrikes, the experienced developer you want to entrust your project with. Since its inception, I've been collaborating on various projects similar to yours, utilizing Python specifically for Asterisk Autodialer Integration. My successful track record in working on existing projects and delivering desired results serves as a testament to my skills which align perfectly with what your project entails. To ensure I complete the task without any redundancy, I approach it by first fully understanding the existing codebase and then preserving those parts that already work flawlessly. Hence, there will be no compromise in what currently functions effectively within your IVR system. This methodic and meticulous approach reduces the chances of unnecessary setbacks and saves valuable time. Aside from my proficiency in Asterisk/Ari/AMI/Python, my diverse experience in REST APIs, cloud deployment and database design will lend an invaluable hand to your project where real-time IVR call-controll integration is the last but crucial jigsaw piece needed for completion. Let me assure you that I can effectively tackle and bridge your existing IVR state-machine with the RTP/silence - maintaining media path through VMGate - recording MixMonitor audio - transmitting DTMF signals and even the STT tasks.

@hirenksanghvi

Hello, Best wishes from Syndell! Your Python/Asterisk autodialer needs its IVR state-machine integrated with live audio transcription and DTMF detection so calls respond to prompts in real-time instead of fixed delays. We excel at ARI/AMI integrations that connect call-control logic to active media streams - exactly what you're building. Our approach prioritizes integrating your proven Deepgram pipeline and DTMF capture into your state-machine without breaking your working VMGate trunk setup or dashboard. Are you capturing IVR audio reliably through MixMonitor today, or is that something we'd need to address first? We are a software, AI, and digital-marketing agency, 5-star reviewed on Clutch and GoodFirms and among the top-rated teams for our services on Freelancer.com. We would be glad to discuss this over chat, refine the scope together, and show you closely related work from our portfolio. Looking forward to this opportunity. Thanks! PS: The final time and cost may be subject to change based on our discussion.

@eternitech

Hi, New on Freelancer — 20 years of development experience behind us. We're taking our first few projects here at a fraction of our normal rate purely to build our review history. You get senior agency work at junior pricing; we get a review. Straight trade. Given your setup with Python and Asterisk on Debian 12, I'd look into any potential misconfigurations in the ARI/AMI interfaces that might be causing issues. Ensuring ARI and AMI are correctly set up to handle your autodialer's load can be crucial. Can you share access to the VPS so I can review the current configuration?

@vinaytheja

As an experienced python developer and tester who worked on agro machinery and medical devices, I would assure you of the product with almost quality.