SMART DWELLING SYSTEM

Abstract

ABSTRACT A smart dwelling system 100, comprising a central control unit 102 configured to manage and integrate multiple smart devices, a plurality of smart sensors 104 for detecting environmental conditions, occupancy, and energy usage, a machine learning module 106 for predicting user behaviour and optimizing resource usage and a user interface 108 for remote control and monitoring of the system. <>

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to the field of smart homes and Internet of Things (IoT) systems, particularly the invention relates to an automated system that connects various devices in a home to optimize energy consumption, security, and user comfort through IoT-enabled technology.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] Traditional home automation systems have been limited in their capabilities, often requiring manual intervention and lacking in flexibility to adapt , Claims:1. A smart dwelling system 100, comprising:
a central control unit 102 configured to manage and integrate multiple smart devices;
a plurality of smart sensors 104 for detecting environmental conditions, occupancy, and energy usage;
a machine learning module 106 for predicting user behaviour and optimizing resource usage;
a user interface 108 for remote control and monitoring of the system.

2. The smart dwelling system 100 as claimed in claim 1, wherein the central control unit 102 communicates with IoT devices via Wi-Fi, Zigbee, or Bluetooth protocols.

3. The smart dwelling system 100 as claimed in claim 1, wherein the machine learning module 106 adapt the system functions based on the historical behavior of the users.

4. The smart dwelling system 100 as claimed in claim 1, wherein the user interface 108 provides real-time data on energy consumption and security status.

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