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Oasis

Innovation Fest 2025

About Oasis

Oasis Smart Window is an intelligent smart window system designed to enhance home living through seamless automation and energy efficiency. Integrating voice control, temperature sensors, and IoT connectivity, this innovative solution automatically adjusts window positions based on environmental conditions. It not only boosts indoor comfort but also contributes to sustainability by reducing the need for air conditioning. Tailored for modern homes and eco-conscious users, Smart Window is a step toward smarter, greener living.

UN SUSTAINABILITY DEVELOPMENT GOALS

Empowered and Driven:
Delivering Solutions for Global Issues

Goal 7 – Affordable and Clean Energy:
Oasis Smart Window reduces energy consumption by optimizing natural ventilation, lowering the need for air conditioning, and promoting energy-efficient living.

Goal 11 – Sustainable Cities and Communities:
By integrating smart, eco-friendly technology into everyday home infrastructure, the project supports the development of smarter, more sustainable urban living environments.

Goal 13 – Climate Action:
Through automated temperature regulation and reduced carbon footprint, the system contributes to climate-conscious living and supports efforts to combat global warming.

THE STORY BEGAN

DESIGN STORY

Challenges

Environmental Accuracy: Ensuring that the temperature sensors provide consistent and accurate data to trigger appropriate window actions. Seamless Integration: Integrating hardware components (motors, sensors, microcontrollers) with software interfaces and smart home platforms like Alexa. Energy Efficiency: Designing the system to consume minimal power while maintaining reliable performance. User Interface Simplicity: Creating an intuitive control experience for both tech-savvy and non-technical users. Safety & Security: Making sure the automated system is safe, especially in extreme weather or unexpected conditions like power failures. Cost-Effectiveness: Balancing smart functionality with affordability to make the product viable for mass-market adoption.

Solution

To address these challenges, Oasis Smart Window incorporates a combination of reliable hardware and smart software. High-precision sensors are used to ensure accurate environmental data collection. A microcontroller-based control system processes this data to trigger responsive motor actions for window adjustment. Integration with Alexa provides a user-friendly voice control option, while a manual button ensures accessibility during connectivity issues. The design prioritizes low power consumption and includes safety protocols like override functions during extreme conditions. Modular hardware and scalable design also help keep production cost-effective without compromising performance.

Use Case

Scenario: A homeowner wants to maintain a comfortable indoor environment without constantly adjusting the windows or relying heavily on air conditioning. How Oasis Smart Window Helps: On a warm afternoon, the built-in temperature sensor detects that the indoor temperature is rising. Automatically, the smart window opens slightly to let in a breeze, reducing the need for air conditioning. As the evening approaches and the temperature drops, the system senses the change and closes the window to maintain comfort. The homeowner can also use Alexa to open or close the window by voice while cooking, ensuring ventilation without leaving the kitchen. This solution offers energy savings, increased convenience, and a better quality of life — all hands-free and intelligently managed.

TECHNOLOGIES

List of Essential Tools and Technologies

THE PROCESS

PROTOTYPE DESIGN

Our prototype is a basic model of the Oasis Smart Window. It uses an Arduino with built-in Wi-Fi to control a servo motor based on temperature readings. Two temperature sensors help detect when it’s too hot or cold, and the window opens or closes automatically. There’s also a push button for manual control.

We’re using a 15kg servo motor to show the movement of the window. The whole system is powered by 9V batteries and built on breadboards using jumper wires for easy setup. An ultrasonic sensor is added to help detect the position of the window.

This prototype shows how the smart window works in real-time. It’s still in progress and will be improved with more features later.

Online Marketing
Creative agency
Web development

PLEDGE

Impact on the market

The Oasis Smart Window has strong potential to make an impact in the growing smart home market. As more people look for energy-efficient and automated solutions, our product offers a simple way to improve indoor comfort while saving energy. It stands out by combining automatic temperature control with manual and voice-based operation, making it user-friendly and future-ready.

With increasing awareness of sustainability and climate change, smart home products like ours can attract eco-conscious consumers. It also has potential for use in homes, offices, and smart buildings, making it a flexible solution for different environments.

RESULTS

FINAL PRODUCT

Our project, Oasis Smart Window, went through several key stages during development. We started by researching the need for automated window systems and how they can help save energy and improve comfort in homes. After finalizing our idea, we listed the components we needed and planned the basic structure of our prototype.

We used an Arduino with built-in Wi-Fi as the main controller. This allowed us to read data from temperature sensors and control a servo motor. The motor acts as the window opener, which moves based on the temperature readings. We also added manual push buttons so the user could open or close the window directly. An ultrasonic sensor was included to help detect the window position and add a layer of safety.

We powered the system using 9V batteries and built the circuits on a breadboard. Jumper wires and resistors helped us connect all the components properly. The coding was done using the Arduino IDE with basic C/C++ logic for sensor data handling and motor control.

We faced some challenges with sensor calibration and making sure the motor had enough strength, but we managed to adjust our design to work around those issues. The final result is a working prototype that responds to temperature changes and gives users both automated and manual control.

Once the prototype is fully built and tested, we will include real images to show the final setup. This project has helped us understand both hardware and software integration, and we see great potential for this idea in smart homes.