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Day 7: Enhancing AI Memory for Multi-Turn Conversations #AIVoiceBot #ContextRetention

A powerful AI voice bot should remember previous interactions to provide a seamless, human-like conversation experience. Today, we’ll implement context retention in our Laravel AI call center, allowing the bot…
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Day 6: Handling Call Routing & Multi-Agent AI Conversations #AIVoiceBot #CallRouting

A fully functional AI-powered call center must route calls dynamically based on the caller's intent, connect to different AI agents, and escalate to human support when needed. Today, we’ll implement…
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Day 5: Handling Real-Time AI Conversations with Callers #AIVoiceBot #LiveAIChat

An AI-powered call center must handle dynamic conversations in real time, allowing the voice bot to process customer queries, fetch database information, and respond naturally. Today, we’ll integrate live AI…
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Day 4: Managing AI Call Flow & Automating Customer Queries #AIVoiceBot #CallAutomation

An AI-powered call center bot must handle call flows efficiently, ensuring customers receive accurate responses, database-driven information, and seamless call automation. Today, we’ll implement call routing, automated query handling, and…
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Day 3: Converting AI Responses into Realistic Speech with Text-to-Speech (TTS) #AIVoiceBot #TTSSynthesis

AI-powered text-to-speech (TTS) allows our Laravel call center AI to convert AI-generated text responses into natural-sounding voice replies. Today, we’ll integrate OpenAI, AWS Polly, and Google Text-to-Speech to enable voice…
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Day 2: Integrating AI-Powered Speech-to-Text for Call Handling #AIVoiceBot #STTIntegration

AI-powered speech-to-text (STT) enables our Laravel call center AI to convert customer calls into text, analyze queries, and respond accurately. Today, we’ll integrate OpenAI Whisper, AWS Transcribe, or Google Speech-to-Text…
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Day 1: Introduction to AI-Powered Call Center with Laravel #AIVoiceBot #CallCenterAI

AI-driven call centers revolutionize customer service by automating responses, retrieving data from databases, and handling voice interactions efficiently. In this series, we’ll build a Laravel-based AI voice bot that can:…
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Day 10: AI-Powered Virtual Trainer & Future of AI in Fitness #AIWorkout #VirtualTrainer

AI-powered virtual trainers are revolutionizing fitness by providing real-time workout guidance, personalized coaching, and AI-driven feedback. With advancements in computer vision, machine learning, and voice AI, fitness apps can now…
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Day 9: AI-Based Workout Challenges & Social Features #AIWorkout #FitnessCommunity

AI-driven workout challenges and social engagement make fitness more interactive and motivating. By integrating leaderboards, AI-generated challenges, and real-time progress sharing, users can compete, track achievements, and stay accountable. 🏆…
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Day 8: AI-Based Performance Analysis & Progress Reports #AIWorkout #PerformanceTracking

AI-powered performance analysis helps users track fitness progress, identify weak points, and optimize workouts. By integrating pose detection, rep tracking, and AI-driven insights, we can generate progress reports that visualize…
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Table of Contents

×
  • 🧠 1. Why Context Retention is Important
  • 🛠️ 2. Implementing Conversation Memory in Laravel
    • 📌 Step 1: Install Laravel Redis
    • 📌 Step 2: Configure Redis in .env
  • 💾 3. Storing & Retrieving Conversation History
    • 📌 Step 1: Create Conversation Memory Service
  • 🤖 4. Enhancing AI Responses with Memory
    • 📌 Step 1: Modify AIService to Include Conversation Context
  • 📡 5. Using AI Memory in a Real Call Flow
    • 📌 Step 1: Modify handleCall() to Include Context
  • 📡 6. Testing Multi-Turn AI Conversations
  • 📝 Meta Description
  • 💡 Next: Day 8 – Integrating AI with CRM for Customer Data Access #AIVoiceBot #AIandCRM
→ Index