The Internet of Things (IoT) can help us better our lives in many ways by rendering real-time information over the Internet via smart network of devices. In this paper, the authors discussed about development of an IoT-enabled embedded system for smart textiles which was developed to monitor the real-time health parameters of industrial/agricultural workers. The developed system encompasses LM 35 body temperature sensor, MAX30100 pulse rate and SpO2 module, NodeMCU ESP 8266 WiFi-enabled microcontroller, Blynk Android app development platform and mobile phone (OS: Android). The developed system was tested in the laboratory measuring the health parameters of ten persons with five replications. Test results shows that the standard deviation and standard error mean (SE mean) in the measured value of temperature were found to be 1.6 °C and 2.22 % respectively. Similarly, standard deviation and standard error mean (SE mean) in the measured value of pulse rate and SpO2 were found as 2.68 BPM and 6.75 % respectively and 5.87 % and 4.60 % respectively. The developed embedded system is easy-to-build, easy-to-use and cost-effective (` 5000/-). The compactness of microcontroller as well as sensor and initial testing shows that the developed system is very much compatible to integrate with the textile product to make a low-cost smart textile for real-time health monitoring of industrial/ agricultural workers.