IoT World

From Data at the Edge to Intelligent Decisions: Machine Learning in IoT (AIoT)

Apr 8, 2026

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Internet of Things

What Exactly is the 6-Steps Favoriot Insight Framework (FIF)?

A Structured Guide for Designing and Deploying AIoT Solutions Using the Favoriot Insight Framework (FIF) 1. Introduction The adoption of Artificial Intelligence of Things (AIoT) has accelerated across industries, driven by the need for real-time visibility, predictive capabilities, and data-driven decision-making. However, many organisations struggle to translate IoT data into… Read More ⇢
Inside the 100 Days IoT Challenge: The Student Who Refused to Slow Down at Day 75

It is truly inspiring to witness the discipline, curiosity, and commitment Kritish Mohapatra demonstrates in his “100 Days 100 IoT Projects” journey. Reaching Day 75 is not just a numerical milestone. It reflects consistency in action, clarity in purpose, and a deep passion for building rather than merely consuming knowledge.… Read More ⇢
From Prototype to Practical Impact: Celebrating a Student’s Smart Vehicle Tracking & Fuel Monitoring System with FAVORIOT

In the growing ecosystem of IoT-driven solutions, it is always encouraging to see students move beyond experimentation and begin deploying systems that address real operational challenges. Fazla Bari Mithu, an EEE student at Jashore University of Science and Technology (JUST), has demonstrated exactly that with his Smart Vehicle Tracking and… Read More ⇢
From Environmental Monitoring to Predictive Public Health: A Favoriot Case Study on Dengue Forecasting

Introduction Dengue fever continues to pose a significant public health challenge in Malaysia and across many tropical regions. While efforts to manage outbreaks have improved over the years, most interventions remain reactive, often initiated only after cases begin to rise. This delay reduces the effectiveness of containment measures and increases… Read More ⇢
When Data Protects What Cannot Be Replaced: A Favoriot Use-Case in Cultural Preservation

Preserving Heritage Requires Precision, Not Assumptions Museums are entrusted with preserving artefacts that embody a nation’s identity and history. While public exhibitions often draw attention, the true responsibility lies behind the scenes, particularly within storage rooms where the most fragile and valuable artefacts are kept. In these controlled environments, preservation… Read More ⇢
From Student Project to Smart City Solution: How This IoT Environmental System Is Turning Real-Time Data into Action

From Prototype to Connected Intelligence Ratnakar Sahoo’s project represents a clear shift from a standalone environmental-sensing prototype to a connected IoT system with real-world relevance. By integrating cloud capabilities through the FAVORIOT platform, the solution demonstrates how environmental data can move beyond local displays into continuous, remote monitoring. The system,… Read More ⇢
[Project Challenge #15] Smart Shopping Behaviour Analytics Using the Favoriot Insight Framework (FIF)

Introduction Walk through any shopping precinct on a busy weekend, and you will see a constant flow of movement. Families browsing market stalls. Young adults are stopping at pop-up events. Visitors walking through retail streets, deciding where to spend their time and money. Yet for most councils and retail operators,… Read More ⇢
[Project Challenge #14] Smart Parks Powered by the Favoriot Insight Framework

From Public Spaces to Intelligent, Safer, and More Responsive Environments Introduction A park should be a place of joy. Children running freely. Families gathering under trees. Joggers feel safe even as the sun sets. Yet behind this peaceful image, city councils struggle with illegal dumping, vandalism, overflowing bins, nighttime intrusion,… Read More ⇢
Inside a Smart Environment Monitoring System: A Student’s ESP32 IoT Project That Combines 5 Sensors and Cloud Analytics

Impressive work, Chirag. For a student who is still early in his engineering journey, this project shows strong curiosity and the willingness to experiment with real systems rather than just theory. What stands out is how Chirag integrated multiple sensors into a single platform. Temperature, humidity, gas detection, light intensity,… Read More ⇢