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I am building two applications and need an engineer who has done this before—not someone who is learning on my time. First, the AI voice-calling agent. It must: • schedule outbound and follow-up calls automatically, • understand and respond naturally to the caller (voice recognition + NLU), • record every conversation and generate accurate, searchable transcripts. Second, the AI lead-generation app. It must: • score incoming leads automatically, • push real-time alerts to sales staff, • sync cleanly with our existing CRM. I am flexible on the underlying stack (Dialogflow, Azure, Watson, or another proven framework); what matters is the quality of the final product and your ability to maintain it. Acceptance criteria • End-to-end demo showing both apps working together. • Source code with clear documentation. • Deployment guide for staging and production. • A brief walkthrough of your previous, comparable projects. If you can show live links, screencasts, or repos for similar AI agents you have shipped, I’ll prioritise your proposal.
Project ID: 40334996
18 proposals
Remote project
Active 23 days ago
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18 freelancers are bidding on average ₹12,486 INR for this job

Hi there, I’ve reviewed your Flutter app requirements and would love to help. With 5+ years of experience in cross-platform development, I specialise in clean UI, smooth performance, and robust API integration. I’ll begin with clear planning, share regular progress updates, and ensure the app is fully tested before launch. Let’s connect to discuss your vision — I’m ready to get started! Best, Bhargav Flutter Developer | Android & iOS Expert
₹7,000 INR in 7 days
6.9
6.9

Hello, I will build both apps — the AI voice-calling agent with automatic outbound scheduling, follow-ups, natural conversation handling, call recording and searchable transcripts, and the lead-generation app with automatic scoring, real-time sales alerts, and CRM sync. I will deliver them working together in an end-to-end demo. For the voice agent, I will use Twilio Voice with a real-time WebSocket bridge to an LLM for natural responses rather than rigid Dialogflow intents. This handles unexpected caller responses far better and avoids the "press 1 for..." feel that intent-based systems produce. Questions: 1) Which CRM does your sales team use — Salesforce, HubSpot, or something custom? 2) For the voice agent, what is the typical call scenario — appointment setting, qualification questions, or something else? Looking forward to talking through the details. Kamran
₹7,000 INR in 7 days
7.4
7.4

Hi there, Strong alignment with this project comes from delivering AI voice and lead automation systems where reliability, real-time processing, and integration are essential. Clear understanding of building voice agents with speech recognition, NLU, call handling, and transcript generation alongside intelligent lead scoring and CRM sync. Hands-on expertise with proven frameworks and API integrations ensures scalable architecture, clean data flow, and production-ready deployment. Risk is minimized through structured testing, real-time validation, and ensuring seamless interaction between both applications. Available to start immediately happy to share relevant demos and discuss next steps. Recent work: https://www.freelancer.com/u/chiragardeshna Regards Chirag
₹7,000 INR in 7 days
4.2
4.2

I understand you need two production-ready systems—an AI voice agent that can handle real conversations end-to-end and a lead engine that scores, alerts, and syncs with your CRM without breaking workflows. With 10+ years experience building AI automation systems, I can implement a reliable voice stack (speech-to-text, NLU, TTS) with call scheduling and transcript indexing, along with a lead scoring engine using rules + ML signals integrated via APIs. My focus is not experimentation but stable, scalable systems with clean integrations, real-time alerts, and clear documentation so your team can operate confidently.
₹24,000 INR in 15 days
4.4
4.4

Hi, Your project stands out because it requires not just building AI features, but delivering a production-ready, reliable system — and that’s exactly where I specialize. I’m a DevOps engineer with strong experience ( 3+ years ) in: • Deploying and scaling distributed applications • Building CI/CD pipelines for fast and safe releases • Containerization (Docker) and orchestration (Kubernetes) • Monitoring, logging, and system reliability For your solution, I would approach it as follows: • Use Twilio for outbound calling and call automation • Integrate Dialogflow/OpenAI for voice recognition and NLU • Build backend services for lead scoring and CRM sync • Set up a fully containerized architecture with CI/CD pipelines • Deploy scalable infrastructure with proper monitoring and alerting What I bring to your project: • Production-grade deployment (not just a prototype) • Clean staging + production environments • High availability and scalability planning • Clear documentation for long-term maintenance If needed, I can also collaborate with an AI specialist while I handle the infrastructure, deployment, and reliability side to ensure the system works seamlessly end-to-end. Happy to share examples of systems I’ve deployed and maintained. Let’s build something robust and scalable. Best regards, Prashant Kashyap 9560621855
₹7,500 INR in 10 days
0.0
0.0

Hi, we have worked on AI-driven automation using Azure + real-time systems. I have tried to outline a working approach for voice + lead apps. Please let me know if we can discuss. Detailed Proposal (≤1200 chars) Hi, this requirement involves two connected systems — AI voice agent and lead scoring platform. I have observed that the critical areas here are real-time voice handling, transcript accuracy, and CRM sync. We have worked with: Azure Functions + App Services for backend orchestration Real-time messaging using SignalR AI integrations (speech-to-text, text processing, automation workflows) For your use case, I have tried to structure the approach: Voice agent → Azure Speech Services + telephony integration (Twilio/Azure Communication Services) Transcription → real-time capture + storage in Azure Lead scoring → rule-based + AI-assisted scoring layer Alerts → SignalR-based real-time push CRM sync → API-based integration (including Salesforce) I have tried to keep the system modular so both apps work independently and together. One point to highlight — production-grade voice AI requires careful latency and conversation handling, and we are factoring that in from the start. Please let me know if you would like a quick walkthrough of a similar system we have worked on and the next steps.
₹7,000 INR in 7 days
0.0
0.0

Hello, I can build your AI voice-calling agent and lead-generation app with reliable, production-ready architecture. I have experience with Dialogflow, Twilio, and CRM integrations. I will implement smart call automation, voice understanding, transcripts, lead scoring, and real-time alerts. Both apps will work seamlessly together. You will get clean code, documentation, and deployment guide. I can share similar project demos. Timeline is 5–7 weeks. Let's discuss further. Thanks!
₹20,000 INR in 7 days
0.0
0.0

Hey - I have extensive experience building production-ready AI agents and lead-management systems, I specialize in delivering solutions that are reliable, maintainable, and aligned with business needs. However, For the AI voice agent, do you prefer a fully custom solution, or is leveraging platforms like Dialogflow, Azure, or Watson acceptable if it meets performance and maintainability standards? Also, Are there specific metrics or KPIs for lead scoring you want the AI to prioritize (e.g., likelihood to convert, engagement, demographic fit)? ✔️ Currently, We are engineering an AI-native Hospital Management System with a real-time, speech-driven clinical intelligence layer that transforms unstructured doctor–patient interactions into structured medical data. At the core, the system leverages low-latency audio ingestion and streaming ASR pipelines powered by Gemini 3.1 Pro and Claude Opus 4.6, enabling high-fidelity transcription with deep contextual understanding. (Almost 70% completed) For the AI voice-calling agent, I have implemented systems that handle outbound scheduling, natural conversation via NLU, and accurate transcription for search and analysis. For AI lead-generation apps, I’ve built automated scoring pipelines, real-time notifications, and CRM integrations that streamline sales workflows. I would definitely deliver a robust solution that meets your expectations and can maintain it reliably. Looking forward to discussing your project in detail. Best,
₹7,000 INR in 7 days
0.0
0.0

I know that I am a good candidate to consider for your project, especially given your need for a polished AI voice-calling agent that automates outbound scheduling while delivering seamless natural language understanding and accurate searchable transcripts. My experience developing high-performance AI applications ensures a streamlined, cohesive integration with your existing CRM and real-time lead scoring alerts. While I am new to freelancer, I have tons of experience and have done other projects off site. I focus on creating intuitive, automated solutions with clear documentation and deployment guides, backed by strong problem-solving skills to deliver reliable, maintainable results. I would love to chat more about your project! Regards Sjon Voogt
₹5,750 INR in 14 days
0.0
0.0

I’ve built AI-driven systems using Python, including voice/NLP workflows, lead scoring models, and CRM integrations. For your setup, I’d structure this as two connected services: a voice agent (speech-to-text + NLU + call handling + transcripts) and a lead system (scoring, alerts, CRM sync), ensuring both share clean data flow and are production-ready. Focus will be on reliability—accurate transcripts, stable call handling, and real-time lead updates—not just a demo. I can share examples of similar AI/data systems and walk through how they were built. Do you already have a preferred telephony provider or should I handle that as part of the architecture? Thanks
₹15,000 INR in 1 day
0.0
0.0

New Delhi, India
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