AI-Powered Voice & Text Bot Development

? About the Project We are building an AI-powered Voice & Text Bot to automate cold outreach, lead qualification, and follow-ups via calls and SMS. The system will use Claude 3.5 for AI conversation handling, Twilio & Bandwidth for VoIP & SMS, LiveKit for real-time AI voice streaming, and a web dashboard for analytics, lead tracking, and performance monitoring. ? AI Voice & SMS Bot System ? Tech Stack ✅ Claude 3.5 – AI text generation & objection handling ✅ Twilio & Bandwidth – SMS & VoIP for AI-powered calls & text automation ✅ LiveKit – AI voice streaming for real-time conversations ✅ Deepgram STT – Speech-to-text (STT) for AI-powered transcriptions ✅ Deepgram TTS – AI-generated voice for outbound calls ✅ Coqui TTS (XTTSv2) – AI-generated outbound call voices ✅ Firebase – Lead storage & user authentication ✅ PostgreSQL – Database for call/SMS logs & lead tracking ? AI Bot Text System Setup & Final Architecture ? Responsibilities 1️⃣ AI-Powered Voice & Text Bot Development Develop a Twilio & Bandwidth AI Voice Agent to handle outbound calls, record responses, and follow a dynamic script. Create an AI SMS Bot (Claude 3.5 API) to automate text conversations. Implement LiveKit for real-time AI voice streaming in cold calls. Set up Deepgram for real-time call transcriptions and keyword detection. Use Coqui TTS (XTTSv2) and Deepgram TTS for AI-generated outbound call voices. Implement AI objection handling using prompt engineering + Retrieval-Augmented Generation (RAG). AI Lead Categorization: Build a rule-based or machine-learning model to qualify leads based on Timeline, Reason, Condition, and Price. 2️⃣ Web Dashboard & Analytics Develop a user-friendly dashboard to track AI call & SMS logs, monitor response & conversion rates, and categorize leads. Allow manual lead updates & human intervention. Implement a CSV upload system for bulk contact management. Integrate Calendly API for appointment booking. 3️⃣ CRM & Third-Party Integrations Implement Zapier/[login to view URL] integrations to sync AI leads with HubSpot, Salesforce, Podio. Build Webhooks for custom CRM integrations. 4️⃣ Compliance & A2P Legal Handling Set up A2P 10DLC registration for legal SMS outreach. Implement opt-in/opt-out handling & number rotation to avoid spam filters. Handle Twilio SIP trunking for scalable AI voice calls. Ensure TCPA, GDPR, and CCPA compliance for SMS & calls. Implement DNC (Do Not Call) list handling for opt-outs. 5️⃣ AI Continuous Learning & Memory System Store past objections & responses in Pinecone/Weaviate/ChromaDB. Implement AI memory retrieval to personalize responses. Set up sentiment analysis for improved lead categorization. ? Required Skills ? AI & NLP Experience with Claude 3.5 API for AI text generation. Strong knowledge of Prompt Engineering & Retrieval-Augmented Generation (RAG). Familiarity with AI lead categorization techniques (Rule-based & ML). ? Twilio, Bandwidth & AI Voice Streaming Twilio Programmable Voice & SMS API for call automation. Bandwidth Messaging API for AI SMS Bot. A2P 10DLC registration & compliance for outbound messaging. SIP trunking, call recording, and transcription setup. LiveKit – Real-time AI voice streaming for calls. Deepgram STT – AI speech-to-text transcriptions. Coqui TTS (XTTSv2) & Deepgram TTS – AI-generated outbound call voice. ? Backend Development Python (FastAPI, Flask, or Django) for API development. Firebase/PostgreSQL for lead storage & authentication. Webhooks & API integrations (Claude API, Twilio API, Calendly API). ? Frontend & Dashboard React or [login to view URL] for building an interactive lead management dashboard. Data visualization (charts, tables, lead progress tracking). ? DevOps & Cloud Hosting Deploy AI bot on AWS/GCP/Vercel/Firebase. Secure APIs with OAuth/Auth0.