The growing adoption of IoT devices has driven the need for smart, energy-efficient home automation systems. This project aims to develop an IoT-based system that automates lighting, thermostat control, and home security using AI-driven decision-making. The system will enable web-based remote control and intelligent automation, enhancing convenience, energy efficiency, and security for homeowners.
Week 1-2: Initial Planning and Requirement Analysis.
Defining the project objectives, scope, and high-level requirements of the deliverable.
Gathering data and resources required.
Week 3-4: IoT Device Integration Phase
Identifying and integrating various IoT devices to perform home automation
Secure communication protocols to get the devices to interact with each other Week 5-6: AI Algorithm Development Phase
Develop Artificial Intelligence Algorithms that shall make decisions based on sensor data and as per user preferences.
Validation of test data for algorithm accuracy and performance testing.
Week 7-8: System Implementation Phase
Implementation of a central control system that can handle all the devices at home
Remote controlling and monitoring of the system with a user interface
Test bedding of the system by checking the performance matrices and refinement by user feedback Week 9-10: System Integration and Testing Phase
Run the smart home automation system in the test home environment.
Observe system and user interaction with its performance.
Enhance the system continuously on analytics and user feedback.
Week 11-12: Final Evaluation and Reporting Phase
Final evaluation and validation along with smart home automation system
Compilation of final project report and documentation.
Individual presentations of student reports
