{"id":2760,"date":"2025-11-04T03:48:22","date_gmt":"2025-11-04T09:18:22","guid":{"rendered":"https:\/\/techotd.com\/blog\/?p=2760"},"modified":"2025-11-04T03:48:22","modified_gmt":"2025-11-04T09:18:22","slug":"artificial-intelligence-and-machine-learning-in-everyday-life","status":"publish","type":"post","link":"https:\/\/techotd.com\/blog\/artificial-intelligence-and-machine-learning-in-everyday-life\/","title":{"rendered":"Artificial Intelligence and Machine Learning in Everyday Life"},"content":{"rendered":"

Introduction<\/h2>\n

Artificial Intelligence (AI) and Machine Learning (ML) are no longer futuristic concepts \u2014 they\u2019re part of our daily reality<\/strong>. Whether it\u2019s unlocking your phone with facial recognition<\/strong>, getting directions from Google Maps<\/strong>, or streaming personalized shows on Netflix<\/strong>, AI and ML are silently working behind the scenes.<\/p>\n

These technologies have become the backbone of modern innovation<\/strong>, revolutionizing industries, improving decision-making, and enhancing user experiences everywhere.<\/p>\n

In this article, we\u2019ll explore how AI and ML are reshaping the way we live, work, and interact with technology<\/strong>.<\/p>\n

Understanding AI and ML<\/h2>\n

Artificial Intelligence (AI)<\/strong><\/h3>\n

AI refers to the simulation of human intelligence<\/strong> in machines. It enables computers to perform tasks like thinking, learning, problem-solving, and decision-making<\/strong>.<\/p>\n

Machine Learning (ML)<\/strong><\/h3>\n

ML is a subset of AI<\/strong> that allows systems to learn from data<\/strong> and improve automatically<\/strong> without being explicitly programmed.<\/p>\n

In simple words:<\/strong>
AI = The brain that makes decisions.
ML = The process that helps the brain learn from experience.<\/p>\n

How AI and ML Work Together<\/h2>\n

AI uses algorithms and models developed through ML to process vast amounts of data and identify patterns. The more data they process, the smarter they become.<\/p>\n

For instance, when you shop online and see product recommendations<\/strong>, that\u2019s ML analyzing your behavior, and AI deciding what to show you next.<\/p>\n

AI and ML in Everyday Life<\/h2>\n

Here are some real-world examples of how these technologies impact our daily routines:<\/p>\n

1. Smartphones and Personal Assistants<\/strong><\/h3>\n

Voice assistants like Siri, Google Assistant, and Alexa<\/strong> use AI for voice recognition, natural language processing (NLP), and smart decision-making.<\/p>\n

    \n
  • \n

    AI helps understand your voice commands.<\/p>\n<\/li>\n

  • \n

    ML learns your preferences over time.<\/p>\n<\/li>\n

  • \n

    Combined, they make your device more intuitive and efficient.<\/p>\n<\/li>\n<\/ul>\n

    Example:<\/strong> Predictive text suggestions, camera scene detection, and smart replies in messaging apps.<\/p>\n

    Social Media Platforms<\/strong><\/h3>\n

    AI powers everything from your feed recommendations<\/strong> to face tagging<\/strong>.<\/p>\n

      \n
    • \n

      Facebook\/Instagram:<\/strong> Recognize faces in photos using ML models.<\/p>\n<\/li>\n

    • \n

      Twitter\/X:<\/strong> Filters spam and offensive content automatically.<\/p>\n<\/li>\n

    • \n

      TikTok\/YouTube:<\/strong> Recommend videos based on user behavior patterns.<\/p>\n<\/li>\n<\/ul>\n

      AI learns what you enjoy, keeping your feed relevant and engaging.<\/p>\n

      Healthcare and Medicine<\/strong><\/h3>\n

      AI is saving lives by improving diagnostics and personalizing treatments.<\/p>\n

        \n
      • \n

        Early Disease Detection:<\/strong> ML models detect cancer or heart disease earlier than humans.<\/p>\n<\/li>\n

      • \n

        Drug Discovery:<\/strong> AI accelerates the process of finding new medicines.<\/p>\n<\/li>\n

      • \n

        Virtual Nurses:<\/strong> Chatbots assist patients with reminders and consultations.<\/p>\n<\/li>\n<\/ul>\n

        Example:<\/strong> IBM Watson assists doctors by analyzing patient data for accurate diagnoses.<\/p>\n

        4. Transportation and Navigation<\/strong><\/h3>\n

        From Google Maps<\/strong> to self-driving cars<\/strong>, AI and ML make transportation smarter.<\/p>\n

          \n
        • \n

          Navigation apps<\/strong> use ML to analyze traffic patterns and suggest the fastest routes.<\/p>\n<\/li>\n

        • \n

          Autonomous vehicles<\/strong> like Tesla\u2019s Autopilot use sensors and AI to drive safely.<\/p>\n<\/li>\n<\/ul>\n

          Impact:<\/strong> Reduced traffic congestion, fewer accidents, and improved travel efficiency.<\/p>\n

          5. Banking and Finance<\/strong><\/h3>\n

          AI enhances fraud detection, risk management, and personalized banking<\/strong>.<\/p>\n

            \n
          • \n

            Detects unusual transactions in real time.<\/p>\n<\/li>\n

          • \n

            Analyzes spending behavior to prevent fraud.<\/p>\n<\/li>\n

          • \n

            Provides AI-based financial advice and budgeting tools.<\/p>\n<\/li>\n<\/ul>\n

            Example:<\/strong> Chatbots like HDFC\u2019s \u201cEVA\u201d or SBI\u2019s \u201cSIA\u201d answer customer queries instantly.<\/p>\n

            6. Education and E-Learning<\/strong><\/h3>\n

            AI personalizes learning for students based on strengths and weaknesses.<\/p>\n

              \n
            • \n

              Adaptive learning platforms adjust content difficulty automatically.<\/p>\n<\/li>\n

            • \n

              Virtual tutors provide 24\/7 assistance.<\/p>\n<\/li>\n

            • \n

              ML helps educators predict student performance.<\/p>\n<\/li>\n<\/ul>\n

              Example:<\/strong> Duolingo uses ML to personalize language lessons for every learner.<\/p>\n

              7. Entertainment and Streaming Platforms<\/strong><\/h3>\n

              AI decides what you watch next!<\/p>\n

                \n
              • \n

                Netflix, Spotify, and YouTube use ML algorithms to study your history and recommend similar content.<\/p>\n<\/li>\n

              • \n

                AI improves sound and video quality using enhancement algorithms.<\/p>\n<\/li>\n<\/ul>\n

                Example:<\/strong> Netflix\u2019s recommendation engine reportedly saves the company over $1 billion per year<\/strong> by retaining users through personalized suggestions.<\/p>\n

                8. Smart Homes and IoT Devices<\/strong><\/h3>\n

                AI-powered home devices such as Nest Thermostats, Smart Lights, and Security Cameras<\/strong> learn your habits to optimize comfort and energy use.<\/p>\n

                  \n
                • \n

                  Adjusts lighting and temperature automatically.<\/p>\n<\/li>\n

                • \n

                  Detects intrusions using ML-based image recognition.<\/p>\n<\/li>\n

                • \n

                  Saves energy with predictive scheduling.<\/p>\n<\/li>\n<\/ul>\n

                  9. Customer Service Chatbots<\/strong><\/h3>\n

                  Businesses now use AI chatbots<\/strong> to handle thousands of customer queries efficiently.<\/p>\n

                    \n
                  • \n

                    Provides 24\/7 instant support.<\/p>\n<\/li>\n

                  • \n

                    Understands natural language queries.<\/p>\n<\/li>\n

                  • \n

                    Reduces wait time and operational costs.<\/p>\n<\/li>\n<\/ul>\n

                    Example:<\/strong> ChatGPT-powered bots are now integrated into customer service systems globally.<\/p>\n

                    10. Retail and E-Commerce<\/strong><\/h3>\n

                    AI and ML personalize your shopping journey.<\/p>\n

                      \n
                    • \n

                      Product recommendations<\/p>\n<\/li>\n

                    • \n

                      Dynamic pricing (adjusts prices based on demand)<\/p>\n<\/li>\n

                    • \n

                      Predictive inventory management<\/p>\n<\/li>\n<\/ul>\n

                      Example:<\/strong> Amazon\u2019s \u201cJust Walk Out\u201d technology uses AI to automatically bill customers as they leave the store.<\/p>\n

                      Behind the Scenes: Technologies That Power AI and ML<\/h2>\n
                      \n
                      \n\n\n\n\n\n\n\n\n\n
                      Technology<\/strong><\/th>\nFunction<\/strong><\/th>\n<\/tr>\n<\/thead>\n
                      Neural Networks<\/strong><\/td>\nMimic the human brain to identify complex patterns.<\/td>\n<\/tr>\n
                      Natural Language Processing (NLP)<\/strong><\/td>\nEnables machines to understand human speech\/text.<\/td>\n<\/tr>\n
                      Deep Learning<\/strong><\/td>\nLearns from massive data sets with minimal human supervision.<\/td>\n<\/tr>\n
                      Computer Vision<\/strong><\/td>\nAllows systems to interpret visual data (images, videos).<\/td>\n<\/tr>\n
                      Reinforcement Learning<\/strong><\/td>\nSystems learn by trial and error through rewards and penalties.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n

                      These technologies together enable machines to see, understand, and respond<\/strong> intelligently \u2014 shaping our digital world.<\/p>\n

                      Advantages and Challenges of AI in Daily Life<\/h2>\n

                      Advantages<\/strong><\/h3>\n
                        \n
                      • \n

                        Saves time and increases efficiency<\/p>\n<\/li>\n

                      • \n

                        Reduces human error<\/p>\n<\/li>\n

                      • \n

                        Enables predictive analytics<\/p>\n<\/li>\n

                      • \n

                        Improves personalization and user experience<\/p>\n<\/li>\n

                      • \n

                        Enhances safety and convenience<\/p>\n<\/li>\n<\/ul>\n

                        Challenges<\/strong><\/h3>\n
                          \n
                        • \n

                          Data privacy concerns<\/p>\n<\/li>\n

                        • \n

                          Job automation and workforce displacement<\/p>\n<\/li>\n

                        • \n

                          Algorithmic bias<\/p>\n<\/li>\n

                        • \n

                          High implementation cost for small businesses<\/p>\n<\/li>\n<\/ul>\n

                          The Future of AI and ML<\/h2>\n

                          The next decade will witness AI becoming even more integrated<\/strong> into our personal and professional lives.<\/p>\n

                          Future Trends:<\/strong><\/p>\n

                            \n
                          • \n

                            AI-powered healthcare diagnostics<\/p>\n<\/li>\n

                          • \n

                            Fully autonomous transportation systems<\/p>\n<\/li>\n

                          • \n

                            Emotion-recognizing AI for human-machine interaction<\/p>\n<\/li>\n

                          • \n

                            AI-driven education personalization<\/p>\n<\/li>\n

                          • \n

                            Smarter robotics for home and industry<\/p>\n<\/li>\n<\/ul>\n

                            AI is moving from automation to augmentation<\/strong> \u2014 not replacing humans, but empowering them to achieve more.<\/p>\n

                            Conclusion<\/h2>\n

                            AI and ML have become invisible assistants<\/strong> guiding our daily decisions \u2014 what we buy, how we travel, what we learn, and even how we stay healthy.<\/p>\n

                            Their true magic lies not in replacing humans, but in enhancing human potential<\/strong> \u2014 making life smarter, faster, and more connected than ever before.<\/p>\n

                            The era of intelligent machines has begun \u2014 and it\u2019s already in your pocket.<\/p>\n

                            FAQs<\/h2>\n

                            1. What is the difference between AI and ML?<\/strong>
                            AI is the broader concept of intelligent machines; ML is a subset that allows machines to learn from data.<\/p>\n

                            2. How is AI used in daily life?<\/strong>
                            From smartphones and chatbots to healthcare and online shopping, AI powers nearly every modern convenience.<\/p>\n

                            3. Is AI safe to use?<\/strong>
                            Yes, but it depends on data handling and ethical implementation. Responsible AI ensures privacy and fairness.<\/p>\n

                            4. Will AI replace human jobs?<\/strong>
                            AI will automate repetitive tasks, but it will also create new roles in data science, robotics, and AI management.<\/p>\n

                            5. What are some AI technologies I use daily without realizing?<\/strong>
                            Google Maps, Netflix recommendations, spam filters, digital assistants, and predictive typing.<\/p>\n","protected":false},"excerpt":{"rendered":"

                            Introduction Artificial Intelligence (AI) and Machine Learning (ML) are no longer futuristic concepts \u2014 they\u2019re part of our daily reality. Whether it\u2019s unlocking your phone with facial recognition, getting directions from Google Maps, or streaming personalized shows on Netflix, AI and ML are silently working behind the scenes. These technologies have become the backbone of modern innovation, revolutionizing industries, improving decision-making, and enhancing user experiences everywhere. In this article, we\u2019ll explore how AI and ML are reshaping the way we live, work, and interact with technology. Understanding AI and ML Artificial Intelligence (AI) AI refers to the simulation of human intelligence in machines. It enables computers to perform tasks like thinking, learning, problem-solving, and decision-making. Machine Learning (ML) ML is a subset of AI that allows systems to learn from data and improve automatically without being explicitly programmed. In simple words:AI = The brain that makes decisions.ML = The process that helps the brain learn from experience. How AI and ML Work Together AI uses algorithms and models developed through ML to process vast amounts of data and identify patterns. The more data they process, the smarter they become. For instance, when you shop online and see product recommendations, that\u2019s ML analyzing your behavior, and AI deciding what to show you next. AI and ML in Everyday Life Here are some real-world examples of how these technologies impact our daily routines: 1. Smartphones and Personal Assistants Voice assistants like Siri, Google Assistant, and Alexa use AI for voice recognition, natural language processing (NLP), and smart decision-making. AI helps understand your voice commands. ML learns your preferences over time. Combined, they make your device more intuitive and efficient. Example: Predictive text suggestions, camera scene detection, and smart replies in messaging apps. Social Media Platforms AI powers everything from your feed recommendations to face tagging. Facebook\/Instagram: Recognize faces in photos using ML models. Twitter\/X: Filters spam and offensive content automatically. TikTok\/YouTube: Recommend videos based on user behavior patterns. AI learns what you enjoy, keeping your feed relevant and engaging. Healthcare and Medicine AI is saving lives by improving diagnostics and personalizing treatments. Early Disease Detection: ML models detect cancer or heart disease earlier than humans. Drug Discovery: AI accelerates the process of finding new medicines. Virtual Nurses: Chatbots assist patients with reminders and consultations. Example: IBM Watson assists doctors by analyzing patient data for accurate diagnoses. 4. Transportation and Navigation From Google Maps to self-driving cars, AI and ML make transportation smarter. Navigation apps use ML to analyze traffic patterns and suggest the fastest routes. Autonomous vehicles like Tesla\u2019s Autopilot use sensors and AI to drive safely. Impact: Reduced traffic congestion, fewer accidents, and improved travel efficiency. 5. Banking and Finance AI enhances fraud detection, risk management, and personalized banking. Detects unusual transactions in real time. Analyzes spending behavior to prevent fraud. Provides AI-based financial advice and budgeting tools. Example: Chatbots like HDFC\u2019s \u201cEVA\u201d or SBI\u2019s \u201cSIA\u201d answer customer queries instantly. 6. Education and E-Learning AI personalizes learning for students based on strengths and weaknesses. Adaptive learning platforms adjust content difficulty automatically. Virtual tutors provide 24\/7 assistance. ML helps educators predict student performance. Example: Duolingo uses ML to personalize language lessons for every learner. 7. Entertainment and Streaming Platforms AI decides what you watch next! Netflix, Spotify, and YouTube use ML algorithms to study your history and recommend similar content. AI improves sound and video quality using enhancement algorithms. Example: Netflix\u2019s recommendation engine reportedly saves the company over $1 billion per year by retaining users through personalized suggestions. 8. Smart Homes and IoT Devices AI-powered home devices such as Nest Thermostats, Smart Lights, and Security Cameras learn your habits to optimize comfort and energy use. Adjusts lighting and temperature automatically. Detects intrusions using ML-based image recognition. Saves energy with predictive scheduling. 9. Customer Service Chatbots Businesses now use AI chatbots to handle thousands of customer queries efficiently. Provides 24\/7 instant support. Understands natural language queries. Reduces wait time and operational costs. Example: ChatGPT-powered bots are now integrated into customer service systems globally. 10. Retail and E-Commerce AI and ML personalize your shopping journey. Product recommendations Dynamic pricing (adjusts prices based on demand) Predictive inventory management Example: Amazon\u2019s \u201cJust Walk Out\u201d technology uses AI to automatically bill customers as they leave the store. Behind the Scenes: Technologies That Power AI and ML Technology Function Neural Networks Mimic the human brain to identify complex patterns. Natural Language Processing (NLP) Enables machines to understand human speech\/text. Deep Learning Learns from massive data sets with minimal human supervision. Computer Vision Allows systems to interpret visual data (images, videos). Reinforcement Learning Systems learn by trial and error through rewards and penalties. These technologies together enable machines to see, understand, and respond intelligently \u2014 shaping our digital world. Advantages and Challenges of AI in Daily Life Advantages Saves time and increases efficiency Reduces human error Enables predictive analytics Improves personalization and user experience Enhances safety and convenience Challenges Data privacy concerns Job automation and workforce displacement Algorithmic bias High implementation cost for small businesses The Future of AI and ML The next decade will witness AI becoming even more integrated into our personal and professional lives. Future Trends: AI-powered healthcare diagnostics Fully autonomous transportation systems Emotion-recognizing AI for human-machine interaction AI-driven education personalization Smarter robotics for home and industry AI is moving from automation to augmentation \u2014 not replacing humans, but empowering them to achieve more. Conclusion AI and ML have become invisible assistants guiding our daily decisions \u2014 what we buy, how we travel, what we learn, and even how we stay healthy. Their true magic lies not in replacing humans, but in enhancing human potential \u2014 making life smarter, faster, and more connected than ever before. The era of intelligent machines has begun \u2014 and it\u2019s already in your pocket. FAQs 1. What is the difference between AI and ML?AI is the broader concept of intelligent machines; ML is a subset that allows machines to learn from data. 2. How is AI used in daily<\/p>\n","protected":false},"author":12,"featured_media":2763,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[84,1200],"tags":[2497,2499,2373,2496,2430,33,2500,2140,2316,266,2498,1201,2501,2064,2434],"class_list":["post-2760","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-machine-learning","tag-ai-applications","tag-ai-assistants","tag-ai-automation","tag-ai-in-everyday-life","tag-ai-trends","tag-artificial-intelligence","tag-computer-vision","tag-data-science","tag-deep-learning","tag-digital-innovation","tag-future-of-ai","tag-machine-learning","tag-machine-learning-models","tag-natural-language-processing","tag-smart-technology"],"rttpg_featured_image_url":{"full":["https:\/\/techotd.com\/blog\/wp-content\/uploads\/2025\/11\/AI_ML-scaled.jpg",2560,1440,false],"landscape":["https:\/\/techotd.com\/blog\/wp-content\/uploads\/2025\/11\/AI_ML-scaled.jpg",2560,1440,false],"portraits":["https:\/\/techotd.com\/blog\/wp-content\/uploads\/2025\/11\/AI_ML-scaled.jpg",2560,1440,false],"thumbnail":["https:\/\/techotd.com\/blog\/wp-content\/uploads\/2025\/11\/AI_ML-150x150.jpg",150,150,true],"medium":["https:\/\/techotd.com\/blog\/wp-content\/uploads\/2025\/11\/AI_ML-300x169.jpg",300,169,true],"large":["https:\/\/techotd.com\/blog\/wp-content\/uploads\/2025\/11\/AI_ML-1024x576.jpg",1024,576,true],"1536x1536":["https:\/\/techotd.com\/blog\/wp-content\/uploads\/2025\/11\/AI_ML-1536x864.jpg",1536,864,true],"2048x2048":["https:\/\/techotd.com\/blog\/wp-content\/uploads\/2025\/11\/AI_ML-2048x1152.jpg",2048,1152,true],"rpwe-thumbnail":["https:\/\/techotd.com\/blog\/wp-content\/uploads\/2025\/11\/AI_ML-45x45.jpg",45,45,true]},"rttpg_author":{"display_name":"Ashish Ranjan","author_link":"https:\/\/techotd.com\/blog\/author\/ashishranjan\/"},"rttpg_comment":0,"rttpg_category":"Artificial Intelligence<\/a> machine learning<\/a>","rttpg_excerpt":"Introduction Artificial Intelligence (AI) and Machine Learning (ML) are no longer futuristic concepts \u2014 they\u2019re part of our daily reality. Whether it\u2019s unlocking your phone with facial recognition, getting directions from Google Maps, or streaming personalized shows on Netflix, AI and ML are silently working behind the scenes. These technologies have become the backbone of…","_links":{"self":[{"href":"https:\/\/techotd.com\/blog\/wp-json\/wp\/v2\/posts\/2760","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techotd.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techotd.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techotd.com\/blog\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/techotd.com\/blog\/wp-json\/wp\/v2\/comments?post=2760"}],"version-history":[{"count":1,"href":"https:\/\/techotd.com\/blog\/wp-json\/wp\/v2\/posts\/2760\/revisions"}],"predecessor-version":[{"id":2764,"href":"https:\/\/techotd.com\/blog\/wp-json\/wp\/v2\/posts\/2760\/revisions\/2764"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techotd.com\/blog\/wp-json\/wp\/v2\/media\/2763"}],"wp:attachment":[{"href":"https:\/\/techotd.com\/blog\/wp-json\/wp\/v2\/media?parent=2760"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techotd.com\/blog\/wp-json\/wp\/v2\/categories?post=2760"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techotd.com\/blog\/wp-json\/wp\/v2\/tags?post=2760"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}