AI Receptionist for VoIP Call Management

@farooqtahir2013

With over 10 years of proficiency in networking, cybersecurity, and VoIP, I am confident that I am the perfect fit for your AI receptionist project. Having worked extensively with Asterisk PBX and VoIP technologies such as FreePBX, 3CX, Vodia, and Cisco CUCM, I have the practical experience to create a sophisticated yet easily navigable self-hosted AI system like you desire. My technical background will ensure smooth integration with SIP trunk or Twilio Voice code and efficient creation of dialogue scripts/prompts, letting you easily update information within the system. I am adept at different conversational frameworks including Dialogflow, Amazon Lex, Microsoft Bot Framework and can help you choose one that suits your preference. In terms of project management, I value speed and efficacy without compromising quality. My past work involved carefully planning and executing Network infrastructure for companies of various sizes. Thus I understand the importance of attention to detail such as missed-call notifications via email and SMS. In a nutshell, my skills, experience, and commitment make me an ideal candidate for building your AI Receptionist system to offer seamless call management on your virtual front desk. Reach out and let's discuss further!

@corpmember29

I HAVE BUILT VOIP-BASED AI RECEPTIONISTS AND TELEPHONY AUTOMATION SYSTEMS – LET’S TURN YOUR FRONT DESK DIGITAL! I can develop a self-hosted AI receptionist that handles incoming VoIP calls, greets callers professionally, routes them to the right employee, and delivers messages when the employee is unavailable. Core Features: Intelligent Call Handling: Greets caller, asks purpose, identifies requested employee from JSON/CSV directory. Employee Call Routing: Calls the employee, announces caller info, lets them accept or reject. Missed Call Management: Plays polite unavailable message, captures voice/text message, sends via email & SMS. Configurable Dialogue: Easily update greetings, prompts, and employee list. Technical Delivery: Supports SIP trunk or Twilio Voice (other VoIP providers can be integrated). Speech recognition + text-to-speech via Dialogflow, Amazon Lex, Microsoft Bot Framework, or LLM API gateway. Dockerized deployment or step-by-step setup guide for self-hosting. Source code, README, and demo video included. 2 years free ongoing support post-launch for updates, bug fixes, and logic refinements. This solution ensures every incoming call is handled professionally, consistently, and with full logging, bridging your front desk experience to AI with minimal human intervention.

@jitendras097

Hello, I HAVE HANDS-ON EXPERIENCE WITH PROJECT HAVING SIMILAR FEATURES and have built AI-powered voice bots, VoIP call flows, and receptionist-style call routing systems. I have over 9+ years of proven expertise in delivering complex projects end-to-end, I have carefully reviewed your requirements and can confidently execute this task with precision. The project aims to build a lightweight, self-hosted AI receptionist for VoIP call management, where the focus is on efficiency, reliability, and user-centric call handling. Core features will include automated call pickup, employee lookup from CSV/JSON, call bridging with accept/reject flow, voicemail capture, and instant email/SMS notifications. My approach is to implement a clean architecture using Twilio/SIP with business-grade STT/TTS, secure APIs, and easily configurable prompts and directories. By combining technical depth with practical execution, I will deliver a solution that is simple to deploy, stable, and future-ready. -->>WHAT I AM OFFERING- ->>100% DELIVERY OF WORK ->>HIGH-QUALITY, BUG-FREE CODE ->>DAILY PROGRESS UPDATES WITH NO COMMUNICATION DELAYS ->>2 YEAR POST-DEVELOPMENT SUPPORT TO ENSURE YOUR APP RUNS SMOOTHLY, FREE OF COST Let’s discuss in chat as I have some queries to ask regarding the project to proceed further. Jitendra

@Web1devloper

With over 8 years of experience in data analytics and science, I can bring a unique perspective to your project. While the technical components of this project are important, my speciality in **data storytelling and actionable insights** can help shape the AI receptionist into a powerful tool for your business. I am familiar with several popular conversational platforms like Dialogflow, Amazon Lex, Microsoft Bot Framework, and LLM via API gateway and could employ any of them based on your preference. Furthermore, my broad knowledge base includes key VoIP technologies, such as SIP trunk or Twilio Voice, assisting me in swiftly troubleshooting any telephony-related issues that might arise during implementation. Past projects have seen me leverage Python's robust capabilities to tackle complex tasks seamlessly. With this expertise, I'll develop a solution that will align perfectly with your business needs. Additionally, my strong communication skills and experience working with stakeholders enable me to understand and address your unique requirements effectively. This is precisely why you should choose me for the job—I don't construct applications or algorithms sans considering the context or clientele but instead focus on providing tailored data solutions that improve operations and customer understanding.

@PremchandGat

Hello there, This is a great use case for a practical, production-ready AI voice receptionist, and I’d be happy to build it end-to-end. I specialize in voice bots, conversational AI, and telephony workflows, with hands-on experience integrating VoIP (SIP/Twilio), speech-to-text, text-to-speech, and LLM-driven dialogue logic. My focus is always reliability, low latency, and clean handoffs—exactly what a front-desk system needs. Proposed Approach Telephony: Twilio Voice or SIP trunk (your choice) for inbound/outbound calling and call bridging. Conversation Engine: Lightweight LLM-based logic (via API) or Dialogflow/Amazon Lex for deterministic flows. Speech: Business-grade STT/TTS (Twilio, Google, or Amazon Polly). Routing Logic: Employee directory loaded from JSON/CSV, hot-reloadable without code changes. Notifications: Email + SMS for missed calls and voicemail delivery. I value fast deployment, clean logic, and real-world usability over unnecessary complexity. Looking forward to building this with you. Best regards,

@CodeniaTechno

Hello Abdrew, Our company, Codenia Technologies LLP, with over 10 years of experience in AI Development, specializes in AI Chatbot Development and AI Text-to-speech. We have carefully reviewed your project requirements for an AI Receptionist for VoIP Call Management. To address your needs, we propose using Dialogflow for conversational logic, ensuring high-quality speech recognition and text-to-speech capabilities. Our solution will include a self-hosted AI receptionist that seamlessly handles incoming calls, checks employee directories, and facilitates call connections or message-taking as needed. We are keen to discuss your project further and collaborate on a tailored solution. Please let us know a convenient time to connect and delve deeper into the specifics. Thanks, Rupesh Kumar

@GenoraLabs

Hello Abdrew, I hope you are doing well. I have reviewed your project description for an AI Receptionist for VoIP Call Management and I find it quite intriguing. Have you considered the potential benefits of integrating natural language processing capabilities to enhance the conversational flow and user experience further? In handling your project efficiently, I plan to focus on developing a streamlined conversational logic framework using a sophisticated AI platform such as Dialogflow or Amazon Lex. This will ensure that the speech recognition and text-to-speech quality meets business-grade standards while providing a seamless user interaction. Core Deliverables: - Source code with setup instructions - Configurable dialogue scripts - README for easy updates - Video/live demo showcasing end-to-end call flow I'll share the portfolio with you in the DM. Kindly ping me there. My experience with AI development and telephony systems ensures a quality, consistent, and smooth delivery. I'd be happy to discuss your project further and answer any questions. Best regards, Malaika

@yevheniih6

Hi there. I’m confident AI Receptionist for VoIP Call Management requires expertise in Linux, and this is exactly where I deliver fast, high-quality results. Based on your requirements, success depends on hands-on experience in Linux, Asterisk PBX, Voice Talent, VoIP, SIP, AI Text-to-speech, AI Chatbot Development, AI Development, not trial-and-error solutions. With deep experience in Linux, I consistently deliver stable and reliable solutions that meet real project demands. I will fully manage AI Receptionist for VoIP Call Management, delivering a clean, scalable solution optimized for performance and long-term use. I’m ready to begin as soon as approved and deliver results that meet your expectations. Best regards, Yevhenii

@billybryan98

Hello, I have a background in building voice-enabled AI and telephony systems for businesses, focusing on reliable, self-hosted solutions. My expertise covers SIP/VoIP, automated greetings, and natural conversations using modern NLP frameworks. I've delivered end-to-end AI receptionist flows: answering, checking an employee directory (JSON/CSV), placing an outbound call, announcing caller name and reason, and bridging or collecting messages via email and SMS. I work with Asterisk or Twilio Voice and integrate Dialogflow/Lex/Microsoft Bot Framework or a lightweight LLM gateway. The solution ships as Docker containers with easy directory updates and configurable greetings. I can deliver a lightweight, fast, self-hosted receptionist that meets your flow with minimal latency and clear logging. It will support easy updates to the directory, configurable prompts, and end-to-end testing. gareentee that I will deliver perfectly. Please feel free to contact me so we can discuss more details. I am looking forward to the chance of working together. Best regards, Billy Bryan

@rbtech1984

Hello There!!! ⚜⭐⭐⭐⭐⚜(( Automating your front desk with a responsive AI receptionist for VoIP calls ))⚜⭐⭐⭐⭐⚜ I see you need a lightweight, self-hosted AI receptionist that answers VoIP calls, routes them to employees, and manages missed-call notifications via email and SMS. The goal is a business-grade, conversational system that feels natural and professional while remaining easy to update. I have experience in VoIP systems, Asterisk PBX, AI text-to-speech, and conversational bot frameworks like Dialogflow and Amazon Lex. I focus on seamless call flow, reliable SIP integration, and clear, maintainable deployment setups. Key features include: 1. Intelligent call routing with real-time bridging between caller and employee 2. Missed-call notifications via email and SMS with captured messages 3. Easy employee directory management via JSON/CSV and configurable dialogue scripts I can deliver a Dockerized solution with full setup instructions and a demo video to validate the workflow. Let’s discuss the stack and timeline to get this running quickly. Warm Regards, Farhin B.

@sufyanasmat38

Hello, We can build a lightweight, self-hosted AI receptionist that answers VoIP calls, routes callers to employees, announces the caller’s intent, bridges calls on acceptance, and captures messages when unavailable. We’ve already worked on voice bots and telephony workflows (SIP/Twilio), with business-grade STT/TTS, call bridging, and email/SMS notifications. We’ll deliver clean source code, Docker-based setup, configurable prompts, easy JSON/CSV employee management, and an end-to-end demo—focused on fast deployment, not heavy UI.

@ZouityW

I already see a clean way to execute this You need a seamless, self-hosted AI receptionist that handles VoIP calls professionally and guides conversations naturally. I am new to this platform but not to doing focused high quality work. I treat every project as a chance to prove myself so you can expect clear communication and careful execution. I noticed you want automated call routing with polite messaging and easy employee list updates. I would build a clean, integrated dialog flow using Amazon Lex for business grade speech recognition and simple JSON-based directory management. My skills include AI chatbots, telephony integration, and automation. Working with someone new means extra attention to detail and strong value for your budget. Lets chat more about your project, worst case you walk away with a free strategy session Regards, Ilyaas

@angela0044

Merry Christmas! That’s exactly the experience I build. I’ve been building VoIP, IVR, and AI voice systems since 2015 long before “AI receptionist” became trendy. This project is a perfect fit. What I’ll deliver Answers every incoming call Natural, business-grade speech (STT + TTS) Looks up employees from JSON/CSV Calls the employee, announces caller name + reason Accept → instant bridge Reject / no answer → polite message capture Voicemail sent via SMS + Email Lightweight. Fast. No UI bloat. Proposed stack - Twilio Voice or SIP trunk - LLM-driven conversation logic (OpenAI / Azure / Amazon Lex) - Real-time speech pipeline - Dockerized, self-hosted - Editable prompts & dialog scripts - Hot-reload employee directory (no redeploy) Experience - 800+ production projects in VoIP, IVR, WebRTC, AI voice - Built enterprise voice bots for SaaS, healthcare, surveillance - Systems handling 25,000+ daily users without drama Timeline - Core flow: 5–7 days - Demo + polish: 2 days You’ll get source code, README, Docker setup, and a live end-to-end call demo. If you want your calls answered instantly, intelligently, and professionally—let’s ship it.

@Nolawihom

​I can build your self-hosted AI receptionist using Twilio Voice or SIP trunks. I will ensure a natural flow with employee bridging and SMS/email messaging for missed calls. Expert, reliable, and ready to start.

@ABC0AI

Hello Abdrew, I have solid experience building AI-powered voice and telephony solutions, including VoIP call flows, call routing, and conversational bots. I can deliver a reliable, self-hosted AI receptionist that handles incoming calls, understands caller intent, routes calls to the correct employee, and manages voicemail with email and SMS notifications. I focus on clean architecture, fast deployment, and clear documentation, and I’m comfortable working with Twilio/SIP, STT/TTS services, and LLM-based dialogue systems.