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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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Posted inCoding

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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Posted inCoding

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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Day 6: Personalized AI Workout Recommendations #AIWorkout #FitnessAI

AI-driven workout recommendations enhance training efficiency by tailoring exercises based on user performance, fitness level, and real-time data. We’ll use machine learning models to suggest customized workouts and dynamically adjust…
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Day 5: AI-Driven Workout Analysis & Form Correction #AIWorkout #FormCorrection #PoseDetection

Overview Today, we’ll implement AI-driven workout analysis and form correction using real-time pose detection with TensorFlow.js or MediaPipe. The goal is to analyze the user's movements, detect improper form, and…
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Day 4: Voice-Controlled AI Coaching for Workouts #AIWorkout #VoiceControl

On Day 4, we’ll integrate voice commands into the AI fitness coach using React Native Voice. Users can start, pause, switch workouts, and get AI coaching feedback hands-free. 1. Why…
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Day 3: AI-Powered Rep Counting & Form Correction #AIWorkout #RepCounter

On Day 3, we’ll track workout reps (squats, push-ups, lunges) using pose angles and detect incorrect form in real-time. 1. Why AI-Based Rep Counting & Form Correction? ✅ No Need…
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Day 2: Implementing Pose Detection for AI Workout Tracking #AIWorkout #PoseDetection

On Day 2, we’ll set up real-time pose detection using TensorFlow.js and PoseNet/BlazePose to track body movements during workouts. 1. Why Use AI Pose Detection for Workouts? ✅ Tracks Exercise…
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Table of Contents

×
  • 🎙️ 1. Choosing a Speech-to-Text (STT) API
  • 🛠️ 2. Setting Up Laravel for Speech-to-Text
    • 📌 Step 1: Install Dependencies
      • For OpenAI Whisper:
      • For AWS Transcribe:
      • For Google Speech-to-Text:
  • 🎤 3. Implementing Speech-to-Text in Laravel
    • 📌 Option 1: OpenAI Whisper STT
      • Example Usage in Controller
    • 📌 Option 2: AWS Transcribe STT
  • 📞 4. Using STT for Call Center Conversations
    • 📌 Example: Pass Transcribed Text to AI for Response
  • 🎤 5. Testing the AI Call Center STT System
  • 📝 Meta Description
  • 💡 Next: Day 3 – Converting AI Responses into Realistic Speech with Text-to-Speech (TTS) #AIVoiceBot #TTSSynthesis
→ Index