Elenina AI – Intelligent Voice Agents for Business

@jayyx03

Hi, Your project needs more than a basic chatbot integration — the real challenge is building a low-latency AI calling pipeline that sounds natural during live conversations while handling bookings, FAQs, upselling, and human call transfers smoothly. I’m a final-year Computer Science Engineer with experience in AI integrations, backend systems, automation tools, and ML-based applications. I can help build this using OpenAI/GPT + Twilio/Exotel + ElevenLabs with a scalable Python/Node.js backend. What I understood clearly: • AI inbound/outbound calling • Human-like voice responses • CRM + booking integration • WhatsApp/SMS follow-ups • Call recordings & analytics • Multi-language support • Deployable cloud architecture I can also design customizable prompt/workflow support so businesses can update scripts later without backend changes.

@mkh559a5a1fd66e9

Drawing from over a decade of versatile programming expertise, I’m confident in my ability to deliver an AI Calling Assistant that not only aligns with all your key goals, but also pushes the envelope of innovation. Building intelligent and scalable applications that meet mission-critical needs is my forte, which makes me the ideal fit for your project. My technological repertoire spans much-needed skills, including Node.js for back-end, OpenAI (also familiar with GPT), Twilio for voice service needs, while possessing comprehensive Python knowledge suitable for various NLP frameworks and models. Let's talk cost. As a freelancer, I offer competitive pricing that matches top-notch quality assurance practices. The same goes for timeline estimates - I keep you updated in every phase ensuring we adhere to it comfortably. Additionally, I understand monthly running costs are an important factor in your decision-making process. Rest assured, my solutions are focused on efficiency without excessive expenditure.

@NEHABHAT92

With over 9+ years of experience in web development and Mobile development, I have acquired the skills and knowledge to not only meet but exceed your expectations for your Elenina AI project. My expertise lies in Node.js, PHP and my team has successfully built similar projects before. We understand that you need an AI calling assistant for businesses, and we are confident that we can build a system which will fully satisfy this demand. Firstly, our voice AI technology ensures that the conversation sounds as natural as possible aiding in a seamless user experience. Secondly, our proficiency in CRM integration, call recording and transcripts, appointment booking - all essential features needed for your system. Our track-record of delivering successful projects within a reasonable timeline aligns with your requirements too

@Shrutibimpl

Hello There, As per my understanding you want an AI calling assistant that handles inbound and outbound business calls, manages bookings, and automates follow ups with a natural human voice. I have hands on experience building high performance voice AI agents and integrating telephony stacks with Large Language Models for automated customer service. I will turn your business phone lines into a 24/7 sales and support engine that never misses a call or an opportunity to upsell. You will get a multilingual assistant that talks naturally to your customers, qualifies leads, and schedules appointments directly into your calendar. This system handles the entire customer journey from the first hello to the final review on WhatsApp, giving you a professional and fully automated operation that saves time and grows your revenue effortlessly. I will architect the solution using a Node.js backend to link Twilio Media Streams with ElevenLabs for low latency, high fidelity voice synthesis. I will use a custom RAG pipeline with OpenAI to handle FAQs and upsell logic, ensuring the AI remains context aware throughout the call. The infrastructure will feature real time transcription via WebSockets and secure CRM integration via webhooks, with a dedicated dashboard to track call analytics and trigger automated SMS or WhatsApp follow ups based on call outcomes. Best regards, Bharat Joshi

@UzeeTech

With immense excitement, I offer you my expertise in darting the line between virtual and human-like conversation. I understand your need for an AI Calling Assistant that can fluently handle incoming and outgoing calls, seamlessly simulating natural conversations. I am well-acquainted with OpenAI and GPT; more importantly, I have worked on similar projects involving intelligent chatbots, AI developments, and Conversational AI. As a Full-Stack Developer with over seven years of experience, I have crafted elegant software solutions for diverse industries like clinics, restaurants, salons, service enterprises, all businesses that your project caters to. My time in this field has deepened my understanding of deploying and scaling applications with technologies such as Node.js and Python backend, exactly what you're looking for. Moreover, plugging in the preferred tech stack is well within my metier. From dashboard analytics to WhatsApp/SMS follow-up automation; call recording to appointment booking systems; lead qualification to review collection — I possess hands-on experience across these features. Notably, I've been accountable from devising backend structure to refining frontend design — just what you seek. And yes! Remember how you needed both polished web frontend and a live mobile app? Voila! Let's transform your vision into an efficient multifaceted reality!

@barkatalimchand6

Hi, Your project looks very interesting and matches well with my experience in AI voice automation and chatbot systems. I have worked on AI-powered calling and automation solutions using OpenAI, Twilio, Python, and voice AI tools. Recently, we developed a Voice AI assistant project for BoostMySites that handled customer conversations, answered queries, and automated communication workflows naturally like a human assistant. I can help you build: - AI inbound and outbound calling - Appointment booking and lead qualification - CRM and WhatsApp/SMS integrations - Call recordings and transcripts - Upsell and review collection workflows - Multi-language conversational support - Analytics dashboard and automation flows I can also help with deployment, scaling, and setting up a reliable architecture for businesses like clinics, restaurants, salons, and sales teams. I’d be happy to discuss the workflow, timeline, and cost estimation in more detail.

@Ritesh11gupta

Building an AI Calling Assistant sounds exciting! I have hands-on experience with Python and chatbots, so I can help create an efficient solution for answering calls. What specific features are you considering for this assistant?

@mahads31

As an experienced freelance developer, I'm thrilled about the opportunity to build an intelligent voice assistant system like Elenina AI for your business. With a primary focus on effective communication, scalability, and smart architecture - your project aligns perfectly with my areas of expertise. Professionally, I've built robust systems just like you described designed to automate and streamline processes and improve overall customer experience. One of my prominent strengths is my flexibility in employing cutting-edge technologies to harmonize business objectives with modern tech stacks - which your project demands. My proficiency in using Node.js and Python for backend development positions me well to integrate the essential features you seek like CRM integration, call recording, dashboard analytics, multi-language support while deploying on cloud platforms. In regards to managing costs, within structured timelines and ensuring scalable deployments, I bring an Agile approach supplemented by a comprehensive understanding of both technical intricacies and commercial implications. With my demonstrated ability to deliver efficient solutions without compromising quality, I’m confident that I can help you enhance your customer experience and optimize productivity while keeping costs within the budget.

@abdf2010

Hello. I came across your project, Elenina AI – Intelligent Voice Agents project and it aligns well with my background. I have hands-on experience with PHP, Python, Asterisk PBX that's directly relevant here. Feel free to reach out if you have questions.

@jagratip3

Hi there, I’m looking to build an AI Calling Assistant for businesses. Main goals: answer calls automatically, talk naturally, assist with FAQs/bookings, upsell products/services, collect reviews, and transfer to a human agent if needed. Features include AI voice calling (inbound/outbound), multi-language support, CRM integration, call recording/transcripts, appointment booking, lead qualification, upsell scripts, review collection via call/SMS/WhatsApp, analytics dashboard, follow-up automation, and customizable prompts/scripts. Preferred stack: OpenAI/GPT, Twilio/Exotel/Plivo, ElevenLabs or similar, Node.js/Python, cloud deployment. Approach: Please share similar projects, estimated cost, timeline, monthly running cost, suggested architecture, and deployment/scaling support. Clarification: system should work for clinics, restaurants, salons, service businesses, and sales teams. Thanks! I’m ready to start today.

@MariamQadeem

Hey there ! Your AI Calling Assistant idea is solid and highly in demand for businesses like clinics, salons, restaurants, and sales teams. I specialize in building AI voice systems using OpenAI + Twilio/Exotel + ElevenLabs + Node.js, and can help you turn this into a production-ready system. I will help you: Build AI voice calling (inbound + outbound) with natural conversation Set up booking, FAQs, lead qualification, and upselling flows Add human call transfer when needed Integrate WhatsApp/SMS follow-ups + CRM Create dashboard for call tracking and analytics Deploy and scale the full system on cloud Tech stack: OpenAI, Twilio/Exotel, ElevenLabs, Node.js/Python, PostgreSQL Deliverables: Fully working AI calling system + dashboard + integrations + deployment Timeline: 1 weeks (MVP version) Cost: depends on final scope after discussion Monthly cost: usage-based (calls + AI + voice API) If you want, I can also suggest the best architecture based on your exact business type.

@indreshpnk

Hello, I understand you want to build an AI Calling Assistant for businesses that can handle inbound/outbound calls, speak naturally, assist customers, book appointments, upsell services, collect reviews, and transfer calls to human agents when needed. The goal is to create a scalable, human-like voice AI platform for clinics, salons, restaurants, and service businesses. Here’s what I can provide: • AI voice calling system using OpenAI + Twilio/Exotel with natural conversational flows • Multi-language support with call recording, transcripts, CRM integration, and WhatsApp/SMS automation • Appointment booking, lead qualification, upsell scripting, and review collection workflows • Admin dashboard for analytics, prompt customization, and conversation monitoring • Cloud deployment with scalable backend architecture using Node.js/Python I bring 4+ years of experience in AI-integrated applications, backend systems, automation, and scalable cloud deployment, focusing on reliable and production-ready solutions. Just to clarify: • Which telephony provider do you prefer (Twilio, Exotel, or Plivo)? • Do you want real-time AI conversations or workflow-based scripted flows for MVP? Please come to the chat box to discuss more about your project. Best regards Indresh Kushwaha

@ahtishamulhaque1

As an AI Developer with a decade of rich experience, I can profoundly build and empower your AI Calling Assistant project. I'd like to focus on the unique attributes your project requires: answering calls automatically, utilizing natural conversational voice, supporting multi-languages, integrating with CRM, securing call records & transcripts, managing bookings and appointments while incorporating an intelligent upsell approach. These require a deep expertise in AI Development which I possess. I have successfully created similar systems for diverse businesses like clinics, eateries, salons, and sales teams. They have benefited immensely from my diligent solutions aiding in customer assistance and sales improvement. My skills in Node.js and Python align directly with your preferred tech stack and would ensure seamless backend operations. Combined with my mastery of OpenAI / GPT and Twilio / Exotel / Plivo integrations, your AI Calling Assistant would be fully functional within your desired timeline and estimated budget. To illuminate my reliability in deploying robust systems for scale, I routinely work with cloud architecture using platforms like AWS to grant unrestricted flexibility & enthralling performance. My specialties extend to deploying systems using Docker in CI/CD pipelines resulting in top-tier maintenance, reliability and high prevalence for scaling.

@mussaibb7

I'll tackle the Elenina AI project by designing a modular workflow that seamlessly integrates AI calling assistants for businesses. The hard part here is defining reliable workflow boundaries, memory, and fallback behavior so the system keeps producing useful outputs over time. My previous work on Jarvis AI - Personal Automation Assistant shows I can orchestrate complex automated workflows and develop AI agents that adapt to changing requirements. This expertise aligns well with the delivery risk in this job. For instance, Jarvis AI built 30+ automated workflows across scraping, system actions, and API-driven automation, ensuring a robust and scalable architecture. To deliver the Elenina AI project, I propose a 4-week execution plan. The first two weeks will focus on designing the workflow, retrieving quality data, and developing a logging mechanism. The next two weeks will be dedicated to testing, refining, and fine-tuning the system. I'll provide a modular workflow code, config structure, logging/fallback handling, and a README document. Before proceeding, I'd like to clarify module boundaries, memory/state expectations, and what the first working loop should cover.

@Adebare0409

Hello, I can build a powerful AI Calling Assistant that handles inbound and outbound business calls with natural, human-like conversation, designed to improve customer support, bookings, and sales conversion. The system will automatically answer calls, understand customer intent, respond naturally, and assist with FAQs, appointment booking, and service inquiries. It will also support lead qualification, upselling during conversations, and post-service review collection via call, SMS, or WhatsApp. Key capabilities include: • Human-like AI voice conversations (multi-language support) • Appointment booking integrated with CRM/calendar • Lead qualification and smart routing • Upselling scripts to increase revenue per call • Automatic call transfer to human agents with full context • Call recording, transcripts, and analytics dashboard • WhatsApp/SMS follow-ups for missed or warm leads Tech stack: OpenAI (LLM), Twilio/Exotel for telephony, ElevenLabs for voice, Node.js/Python backend, and cloud deployment for scalability. This system is ideal for clinics, salons, restaurants, and service-based businesses that want 24/7 automated customer handling without losing sales opportunities. I can handle full development, deployment, and scaling setup, and also guide on architecture and monthly running cost optimization. Ready to start immediately.

@anilkumarjha

Hi, I can help you build a scalable AI Calling Assistant for businesses like clinics, restaurants, salons, service providers, and sales teams. The system can handle: • Incoming & outgoing AI calls • Natural human-like conversations • FAQ handling & appointment booking • Lead qualification & upselling • Call transfer to human agents • Review collection via call/SMS/WhatsApp • CRM integration • Call recording & transcripts • Multi-language support (English + Indian languages) • WhatsApp/SMS follow-up automation • Analytics dashboard & custom prompt management Suggested Tech Stack: • OpenAI GPT-4o • Twilio / Exotel / Plivo • ElevenLabs / Deepgram voice AI • Python / Node.js backend • PostgreSQL + Redis • AWS/GCP deployment Suggested Architecture: Telephony Provider → AI Voice Pipeline → GPT Conversation Engine → CRM/Booking APIs → Dashboard & Automation Layer Estimated Timeline: • MVP: 2–4 weeks • Advanced scalable version: 6–8 weeks Estimated Cost: • MVP Development: $3k–$8k • Full Production System: depends on scale & integrations Monthly Running Cost: Depends on call volume, but generally includes: • Telephony charges • AI token usage • Voice AI usage • Cloud hosting I can also help with: • Deployment & scaling • Multi-tenant SaaS architecture • Prompt engineering • Workflow automation • WhatsApp integration • Analytics dashboards I have experience building AI automation systems, analytics platforms, workflow orchestration tools, and scalable backend archit

@jss13

I have built a live WhatsApp AI Sales Agent using n8n + Groq + Twilio with automated lead qualification, HOT/WARM/COLD scoring, human handoff, and Google Sheets logging — similar architecture to what you need. For Elenina AI, I will build: Phase 1 — Core System: Inbound/outbound AI calling using Twilio + OpenAI Natural conversation flow with FAQ handling Call transfer to human agent when needed WhatsApp/SMS follow-up automation Google Sheets/CRM integration for lead tracking Call recording and transcripts Phase 2 — Advanced Features: Appointment booking workflow Upsell scripts during calls Review collection via WhatsApp/SMS Analytics dashboard Multi-language support (English + Hindi) Suggested Stack: Twilio + OpenAI + n8n + Node.js + Google Sheets Timeline: 3-4 weeks Monthly running cost estimate: ₹5,000-15,000 depending on call volume I can start immediately. Please share your use case priority so I can suggest the best architecture.

@Tommy60229

I would build this as a practical MVP first, not an overbuilt call-center platform. The first release should prove one business flow end to end: receive a call, answer FAQs, collect booking details, write the lead or appointment into CRM, and send a WhatsApp/SMS follow-up. Suggested architecture: Twilio, Exotel, or Plivo for telephony, OpenAI/Claude for intent and script logic, ElevenLabs or provider-native voice depending on latency, Node.js or Python backend, PostgreSQL for call/lead/session records, and a small dashboard for calls, transcripts, leads, bookings, and prompt/script configuration. For cost control, I would separate the MVP into clear milestones: 1) inbound voice assistant + FAQ/booking demo, 2) CRM + transcript storage, 3) WhatsApp/SMS follow-up and analytics. Monthly running cost depends on call volume, but for a pilot I would estimate telephony + LLM/voice usage separately so you can see per-call economics before scaling. I can bid INR 25000 for a 7-day MVP pilot focused on one working business vertical, with deployment notes and a clean path to add outbound calls, multilingual scripts, and review collection after the core flow is stable. Relevant work: I built AI caregiving and operations tools with structured workflows, dashboards, automation, and agent-style tool use. This project fits that same pattern: reliable AI workflow + business dashboard + handoff to humans when needed. Transparency: I use AI development tools (Claude Code, Cursor) in my workflow - every architectural decision and line of code is reviewed and tested by me.

@agarwalnikita106

Hello, I’m Nikita Agarwal from Groww Per Click. I reviewed your requirement for an AI Calling Assistant platform, and I understand you are looking to build a scalable voice-AI solution that can automate customer calls, bookings, lead qualification, follow-ups, and business communication with natural conversational flow. We can help you develop an MVP-ready AI calling system using modern conversational AI and cloud telephony architecture designed for clinics, salons, restaurants, and service businesses. WHAT I WILL DELIVER: ✔ AI inbound & outbound calling workflow ✔ Natural conversational voice integration ✔ Booking & lead qualification system ✔ CRM integration support ✔ Call recording & transcript system ✔ WhatsApp/SMS follow-up automation ✔ Dashboard for analytics & call tracking ✔ Prompt/script customization support ✔ Cloud deployment setup SUGGESTED STACK: ✔ OpenAI GPT + Twilio/Exotel ✔ ElevenLabs voice AI ✔ Node.js/Python backend ✔ Cloud-hosted scalable architecture APPROACH: ✔ Design scalable voice-AI architecture ✔ Build conversational call workflows ✔ Integrate telephony + AI response system ✔ Add booking, escalation & automation logic ✔ Deploy and optimize for real-world usage DELIVERABLES: ✔ Working AI calling assistant MVP ✔ Admin/dashboard system ✔ Call automation workflows ✔ Deployment + setup support ✔ Architecture roadmap for scaling