Custom English and Hindi AI Calling Agent with Live Streaming & Real-Time Interruption Handling

@shibbuquadir

As an AI developer with experience in JavaScript, Node.js, and Python, I'm confident that I can successfully undertake this project and deliver all your core requirements. My team at Paper Perfect is known for our out-of-the-box thinking and customized solutions to address unique business needs, which makes us an ideal match for your project. For the development of an efficient Interactive Voice Response system in Hindi, we propose integrating Dialogflow CX or Rasa with Kaldi or Vosk for real-time Hindi speech recognition and TTS. We will architect the solution using Docker, ensuring easy deployment with a single command. To meet your streaming requirement, we will leverage FFmpeg-based OBS-style RTMP pipelines for a low-latency audio stream that viewers can access via a provided URL with quick response time. Handling interruptions seamlessly is crucial to the smooth functioning of such agents. To ensure this, our approach would be to build robust detection mechanisms paired with well-defined but flexible operator logic. This way, when a caller speaks over the agent, it will gracefully pause and promptly decide whether to answer or route the call as per your script.

@SahilRao1247

As someone who excels in using advanced AI tools and platforms, I am primed and ready to design a robust speech pipeline for your English and Hindi AI Calling Agent. My experience with dialeagues, nightashes PKC, RandomForestConv, ANDI and the Flexible conversation as a guiding principles have enabled me to create sophisticated AI systems that can handle complex, branched call flows. I'm well-versed in deploying these solutions using Docker, so you can expect an easy setup process with a commanded edge and clear README. But what sets me apart is my knack for weaving creative solutions into technical realms. Unlike some other candidates who might simply build you a functional system, I'll constantly consider the user experience - from handling interruptions gracefully to keeping audio streams perfectly synced. Having trained on licensed variants of all the suggested technologies, I'm well aware of their compatibility and limitations even as they continually evolve. In addition to my expertise, I offer a unique advantage: my career has been about helping businesses stand out. As such, creating a multilingual voice AI agent with the capability to live stream conversations not only aligns with my skills but also represents an exciting new challenge that resonates with my creative mind. Let's make your vision a reality! Best regards Sahil

@murtuza90

With my 13+ years in the industry, I bring deep technical skills and a proven track record of architecting and building scalable applications to your project. My experience doesn't just stop at technology, but also in managing development teams and maintaining a 100% job success rate. This means you can count on me for a product that works well under pressure and delivers flawlessly. Regarding the task at hand, I have considerable expertise in JavaScript, Node.js, Python, and React.js that align directly with this job's requirements. Previously, I've built diverse production-ready voice and streaming tools that can handle complex communication scenarios like the one you've outlined. You mentioned Dialogflow CX, Rasa, Kaldi, Vosk— I'm familiar with them all. My work transcends beyond just delivering features– I build scalable, secure, and fault-tolerant systems that perform exceptionally under real-world usage. What sets me apart is my entrepreneurial mindset on top of the technical skills—I don't just complete tasks; I solve problems efficiently and create value for your business. If you're looking for an intelligent architect who not only delivers but thinks ahead and builds a sustainable service that can handle potential hurdles and ensure minimal latency – I am most certainly your freelancer of choice!

@Hemantt841

You’re looking to build a production-ready voice agent that handles fluent Hindi two-way calls, supports live audio streaming with under 3-second latency, and manages real-time interruptions with operator handoff. Your need for a Dockerised deployable service with a web dashboard showing transcripts, sentiment, and control features is clear. With over 15 years of full stack development experience and more than 200 projects completed, I specialize in React.js, Node.js, and Python—all essential for creating a robust dialogue engine and dashboard. My background in cloud deployment and Docker ensures smooth, repeatable setups, while AI text-to-speech integration fits naturally into this workflow. I plan to architect the speech pipeline using Vosk or Kaldi for Hindi speech recognition, coupled with a Node.js backend to manage call flows scripted via a flexible dialogue engine. WebRTC will handle low-latency streaming to a lightweight custom player or a major platform like YouTube Live, while interruption detection and operator handoff will be orchestrated through real-time event handling in the dashboard. The entire stack will be containerized for one-command deployment, with a clear README and sample scripts delivered within a few weeks. Let’s discuss your priorities in more detail so I can tailor the solution precisely to your expectations.

@EmanLuqman

Hello, Hindi culture encompasses diverse languages, accents, and nuances that demand a voice agent specialist like me. As a native Hindi speaker and an animator fluent in both written and spoken English, I understand the intricate subtleties necessary to deliver an authentic Hindi voice experience. My proficiency in React.js guarantees a flawless user interface where viewers can appreciate real-time stream at negligible latency. Having previously developed multilingual tools, I ensure that my services align strategically with your brand and KPIs, solidifying my suitability for this project. Architecting a speech pipeline to reliably handle interruptions is our stronghold. Eman & team specializes in dialogue engine design, ensuring smooth call flows, graceful hand-overs, and operator integration without compromising the audio stream. Combining that with our expertise in interruption management; controlling when the agent needs to pause or resume its script will undoubtedly yield exceptional results. Moreover, my previous experience in designing Dockerised deployments guarantees that not only will the stack be easy to spin up but also that all relevant events and conversation logs will be accessible through a simple web dashboard. You needn't worry about tangled instructions as well, I firmly believe in proper documentation and clear README files to ensure a user-friendly experience for stakeholders. Let me build this revolutionary AI alternative Thanks!

@ginghaw

As a seasoned UI/UX Designer with a strong command in front-end development, I believe my skills and experience align perfectly to execute the complex nature of your project. Architecting your speech pipeline, managing interruptions, and keeping the audio stream in sync require keen attention to detail - an innate skill of mine. I can leverage my technical expertise in Twilio Voice, FFmpeg, and FFmpeg to not just build any solution but one with efficient, low-latency streams and smooth Hindi recognition. Moreover, I can assure you that my breadth of experience designing websites and web applications, combined with my understanding of user-centered design, will prove highly valuable in creating a visually appealing and functional web dashboard for your project. My knowledge in using design tools like Adobe XD, Sketch, Figma can also be invaluable in providing you with top-notch wireframes or mockups prior to development. In addition to technical prowess, collaboration is one of my strong suits. I look forward to working seamlessly with your team, efficiently communicating and coordinating with developers to ensure a smooth transfer from design to code. With my well-rounded capabilities suited for this project's hybrid nature of design and coding, I'm confident I can deliver not just acceptance criteria 1-4 but exceed your expectations while finding the most efficient way to implement and deploy.

@himantha1

As an experienced software engineer at one of the major e-commerce companies and a proficient Python developer, I am well-suited to the challenge you have presented. While my background may not directly align with natural language processing technologies involved your project, my proficiency with complex web architectures and a history of quickly adapting to new frameworks and methodologies has enabled me to successfully problem-solve across domains, including those involving voice-based systems. My strength lies in my knack of understanding unfamiliar technology stacks, aligning them with broader system requirements, enabling seamless integration - skills I believe are crucial in realising your ambitious Hindi speech agent. Considering the specific demands of your project - low-latency live streaming, real-time speech recognition and TTS in Hindi, resilient interruption handling - I would opt for a solution that brings together the best elements from various available tools like Rasa for dialogue handling, Vosk for ASR capability and Twilio Voice for call management. To ensure smooth audio-video synchronization, a combination of WebRTC and OBS-style RTMP pipelines could be incorporated. Furthermore, I can encapsulate all these components in a Dockerised deployment package preserving integrity and making onboarding easier for future maintenance.

@shivamk0149

Thank you for the detailed requirements. I can deliver this as a production-ready, Dockerised voice agent built on a modular, low-latency architecture. Telephony will be handled via Twilio Voice (Media Streams) or SIP, enabling real-time bidirectional audio over secure WebSockets. The live audio stream will branch into parallel pipelines: streaming Hindi STT, dialogue processing, TTS response generation, broadcast encoding, and structured logging. For accurate, low-latency Hindi recognition, I recommend Google Cloud Speech-to-Text or Deepgram streaming APIs. For natural, configurable Hindi voice output, Google TTS or ElevenLabs can be integrated depending on quality and licensing preference. The dialogue engine will operate as a state-driven system (Rasa or Dialogflow CX). Interruption handling will use streaming partial transcripts and voice activity detection. When the caller speaks during bot playback, TTS will pause immediately, switch to listen mode, evaluate intent confidence, and either respond automatically or route to an operator—without dropping the session. For sub-3 second live monitoring, I recommend a WebRTC-based broadcast pipeline instead of HLS to maintain near real-time sync. A web dashboard will display live transcript, sentiment, call state, and include a “Take Control” button for seamless human intervention. The final delivery will include one-command Docker deployment, full source code, clear documentation, and downloadable JSON logs.

@felipe786

Hello, I'm a programmer in the field and I'm interested in this opportunity. I have the necessary skills to carry out the project.