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Featured Assignments
Smart Home Temperature Control System Using Arduino & MQTT
IoT & Embedded SystemsClient Requirements
The student wanted to simulate a smart home temperature control solution using Arduino-based sensors, with data transmission via MQTT protocol. The task also required controlling a virtual fan or heater from a dashboard in response to live sensor data.
Challenges Faced
We ensured seamless sensor integration, but faced some complications handling unstable MQTT message delivery over public brokers and syncing real-time sensor data with the dashboard UI. Getting precise readings and threshold-based automation also required careful calibration.
Our Solution
We implemented a system using a DHT11 temperature sensor on an Arduino Uno, connected via ESP8266 to publish sensor values to an MQTT broker. A Node-RED dashboard was set up to visualize live readings and control fan status when temperature crossed thresholds. Rules were dynamically managed using MQTT topics.
Results Achieved
A reliable prototype where the user could remotely monitor and control the temperature environment in real time. Automation worked as expected, and the student developed a strong grip on embedded-to-cloud communication.
Client Review
Assignment I.O.T.101 was truly impressive. The MQTT-based control system worked flawlessly — the temperature readings and automatic fan response were so accurate. Everything was properly structured, and the dashboard was extremely responsive. I had a really cool experience working with them!
IoT-Based Smart Door Lock System with RFID and Cloud Logging
IoT & Access ControlClient Requirements
The student wanted to build a smart RFID-based door locking system that could log access events to a cloud database. The system needed to restrict access based on UID and allow real-time log viewing from a web interface.
Challenges Faced
We ensured secure UID recognition, but faced difficulties with ESP8266 cloud connection stability and ensuring the RFID module’s data synced correctly under fluctuating power conditions. Logging timestamps in proper format on Firebase also needed adjustment.
Our Solution
We integrated an MFRC522 RFID reader with NodeMCU to detect authorized cards, trigger servo lock movement, and push log entries (UID + time) to Firebase Realtime Database. A web frontend was built using HTML/CSS/JS to fetch and display entries in a table.
Results Achieved
The student received a complete smart lock solution with cloud-based access logs, ready to be tested in a real environment. All events were securely timestamped and filtered by user role.
Client Review
I had an absolutely smooth experience working with them on Assignment I.O.T.202. The lock system responded instantly, and cloud logging was super accurate. From card scan to Firebase entry, everything was properly connected and so cleanly coded. Really proud of how it turned out!
Weather Monitoring & Alert System Using IoT Sensors and Blynk App
Environmental Monitoring with IoTClient Requirements
The student aimed to design a remote environmental monitoring system that collects temperature, humidity, and rainfall data, and sends alerts on a mobile dashboard (Blynk app) when thresholds are breached. Cloud visibility was a must.
Challenges Faced
We ensured sensor accuracy, but faced complications with calibrating analog rain sensors and maintaining stable ESP8266-Blynk cloud communication due to Wi-Fi inconsistencies. Triggering real-time notifications without spamming required alert logic fine-tuning.
Our Solution
We wired a DHT11 and rain sensor to NodeMCU and integrated it with the Blynk IoT cloud app. We configured dashboards with live graphs and push notification alerts when temperature exceeded 35°C or rain was detected. Custom logic was added to avoid redundant alerts.
Results Achieved
A fully functional real-time environmental monitoring app with mobile alerts and graphical insights. The student was able to analyze and control from anywhere.
Client Review
Assignment I.O.T.303 went above and beyond my expectations. The mobile dashboard looked so professional, and real-time alerts popped up just as expected. Everything worked so smoothly — I didn’t expect it to feel this polished. A really solid experience!
IoT-Based Vehicle Tracking System with Google Maps Integration
IoT with GPS & GSM IntegrationClient Requirements
The student wanted to implement a vehicle tracking system using GPS and GSM modules, and visualize the vehicle’s live location on Google Maps via a cloud dashboard. The device needed to update its coordinates in near real-time.
Challenges Faced
We ensured GPS accuracy, but encountered issues with delayed GSM data transmission, and aligning Google Maps API markers with updated coordinates from the device. Parsing GPS data (NMEA format) and converting it into usable JSON was also challenging.
Our Solution
We used a GPS module (NEO-6M) and GSM module (SIM800L) with Arduino to transmit location data via HTTP to a server, which then updated Google Maps markers using JS APIs. The map auto-refreshed every 10 seconds and showed path history with pins.
Results Achieved
A real-time, map-based vehicle tracking system that displayed live movement and coordinates with accuracy. The student achieved a working IoT + geolocation integration at an advanced level.
Client Review
Assignment I.O.T.404 was truly next-gen. Seeing the tracker update my car’s location on the map in real time gave me such a high. The way it connected GPS, GSM, and Maps — everything was neat and super responsive. Absolutely loved working with them on this!