An intelligent drug delivery system equipped with artificial intelligence (AI)

Abstract

An AI-integrated drug delivery system, consisting of: a central processing unit configured to execute planning algorithms, process sensor inputs, control motor operations, manage display output and handle wireless communication, wherein the central processing unit is further configured to execute AI inference models for voice command recognition and planning optimization; a flexible display that is operationally connected to the central processing unit and configured to display medication plans, the current time, medication information, and user reminders; an audio subsystem connected to the central unit, configured to generate voice alerts for medication reminders and to receive voice commands from users; a visual monitoring module connected to the central processing unit and configured to capture visual confirmation of medication dispensing and monitor the user's presence; a motor and encoder subsystem connected to the central processing unit, configured to perform precise rotary movements for drug delivery with position feedback; a user interaction module connected to the central processing unit, configured to receive manual input for override operations and system navigation; a power supply subsystem configured to provide regulated power to all system components using rechargeable battery technology; and a wireless communication module connected to the central processing unit, configured to connect to external devices via the Bluetooth Low Energy and Wi-Fi protocols.

Description

AREA OF INVENTION

[0001] The present disclosure relates to an AI-integrated drug delivery system. More precisely, the present invention relates to an AI-integrated system for automated drug delivery, wherein the system is equipped with a flexible display, audiovisual feedback, and wireless connectivity for intelligent and automated drug delivery. BACKGROUND OF THE INVENTION

[0002] Conventional medication dispensers offer a mechanical, time-based medication delivery without any customization or interaction options. While some programmable devices exist, they lack intelligent scheduling, feedback mechanisms, and remote monitoring.

[0003] A prior art document proposes an artificial intelligence-based medication dispensing system. This system features a pill dispenser with compartments, LED and buzzer alerts, and mobile notification via Wi-Fi, with a focus on AI-based reminders and notifying the building manager.

[0004] In another prior art, an electronic pill dispenser is proposed which has a container with a real-time clock, display, acoustic and optical warning signals, sensor mechanisms, communication interface and locked access, and has similar planning and compliance functions to other prior art.

[0005] In another prior art, an interactive drug delivery system is proposed, comprising a housing with multiple compartments with lids, a processor-controlled actuation mechanism for unlocking the compartments at set times, integrated sensors, and light signals for the user.

[0006] In another prior art, an intelligent pill dispenser is proposed, describing a device with a pill carousel, video recording of medication intake, Wi-Fi connectivity, mobile app integration and internal battery, with this dispenser including camera-based verification.

[0007] In another state of the art, an intelligent pill dispenser is proposed that is configured for automatic pill dispensing and uses camera surveillance, mobile alerts and compliance tracking.

[0008] Similar to the previously mentioned prior art, most existing solutions are based solely on simple timers or mechanical actuators. They do not offer visual confirmation of medication intake, lack real-time feedback or mobile interfaces, lack camera-based verification, and do not incorporate AI-based compliance learning. To overcome these limitations of existing solutions, the present invention provides an AI-integrated medication delivery system that is integrated into a microcontroller with an intelligent control and feedback mechanism and utilizes both local processing and connected application control. Summary of the invention

[0009] This disclosure concerns an AI-integrated medication delivery system. The proposed system aims to improve user compliance and healthcare outcomes through real-time monitoring, AI-driven appointment scheduling, and a connected mobile interface. The system combines flexible display technology, audiovisual feedback, wireless connectivity, and artificial intelligence to enable automated, intelligent medication delivery with real-time monitoring and compliance tracking via a connected mobile interface.

[0010] The disclosure relates to providing an AI-integrated medication delivery system. The system comprises: a central processing unit configured to execute scheduling algorithms, process sensor inputs, control motor operations, manage display output, and handle wireless communication, with the central processing unit further configured to execute AI inference models for voice command recognition and scheduling optimization; a flexible OLED display operationally connected to the central processing unit and configured to display medication schedules, the current time, medication information, and user reminders; and an audio subsystem connected to the central processing unit, configured to generate voice alerts for medication reminders and receive voice commands from users.a visual monitoring module connected to the central processing unit, configured to capture visual confirmation of medication delivery and monitor user presence; a motor and encoder subsystem connected to the central processing unit, configured to perform precise rotary movements for medication delivery with position feedback; a user interaction module connected to the central processing unit, configured to receive manual inputs for override operations and system navigation; a power supply subsystem configured to provide regulated power to all system components using battery technology; and a wireless communication module connected to the central processing unit, configured to connect to external devices via Bluetooth Low Energy and Wi-Fi protocols.

[0011] Another objective of the present disclosure is to provide an AI-integrated drug delivery system.

[0012] Another objective of the present disclosure is to provide a system equipped with artificial intelligence functions for voice command recognition, appointment optimization and behavioral learning, and which adapts to the individual needs and preferences of the patient, thereby creating a personalized medication management experience.

[0013] Another objective of the present disclosure is to improve patients' adherence to prescribed medication schedules through intelligent reminders, voice alerts, and visual confirmation mechanisms, thereby reducing medication errors and improving therapeutic outcomes.

[0014] Another objective of the present disclosure is to provide a system with complete medication adherence monitoring, utilizing visual recognition, acoustic confirmation and digital logging, and providing healthcare providers and caregivers with detailed analysis and real-time data on patients' medication adherence.

[0015] Another objective of the present disclosure is to provide an intelligent drug delivery system that accommodates different user preferences and physical abilities through flexible display technology, voice interaction, manual control and connectivity with mobile applications.

[0016] To further clarify the advantages and features of the present disclosure, the invention is explained in more detail with reference to specific embodiments illustrated in the accompanying drawings. These drawings merely show typical embodiments of the invention and are therefore not to be understood as limiting its scope. The invention is described and explained more precisely and in greater detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE FIGURES

[0017] These and other features, aspects, and advantages of the present disclosure will be better understood if the following detailed description is read with reference to the accompanying drawings, in which identical symbols consistently represent identical parts. The following applies: Fig. Figure 1 shows a block diagram of an AI-integrated drug delivery system according to an embodiment of the present disclosure; Fig. Figure 2 shows a block diagram illustrating the configuration and functional modules of the system according to an embodiment of the present disclosure. Fig. Figure 3 shows an isometric view of the proposed AI-integrated drug delivery system according to an embodiment of the present disclosure. Fig. Figure 4 shows (a) a front and (b) a rear view of the proposed AI-integrated drug delivery system according to an embodiment of the present disclosure; and Fig. Figure 5 shows (a) the right and (b) the left side of the proposed AI-integrated drug delivery system according to an embodiment of the present disclosure.

[0018] Experts will also recognize that the elements in the drawings are presented for the sake of simplicity and are not necessarily to scale. For example, the flowcharts illustrate the process by highlighting the main steps to enhance understanding of the aspects of this disclosure. Furthermore, with regard to the design of the device, one or more components of the device may be represented in the drawings by conventional symbols, and the drawings may show only the specific details relevant to understanding the embodiments of this disclosure, so as not to clutter the drawings with details that are readily apparent to those skilled in the art after reading this description. DETAILED DESCRIPTION:

[0019] For a better understanding of the inventive principles, reference is made below to the embodiment shown in the drawings, which is described in specific language. However, this does not limit the scope of the invention. Changes and further modifications of the illustrated system, as well as further applications of the inventive principles, are possible, as would normally occur to a person skilled in the art in this field.

[0020] It is clear to the person skilled in the art that the preceding general description and the following detailed description are exemplary and explanatory of the invention and are not intended as a limitation of it.

[0021] References in this specification to “an aspect”, “another aspect”, or similar expressions mean that a particular feature, structure, or property described in connection with the embodiment is included in at least one embodiment of the present disclosure. Therefore, occurrences of the expressions “in one embodiment”, “in another embodiment”, and similar expressions in this specification may all refer to the same embodiment, but need not.

[0022] The terms "includes," "include," or other variations thereof are intended to cover non-exclusive inclusion, so that a process or method that includes a list of steps may not only contain those steps but may also include other steps not expressly listed or inherent in such process or method. Likewise, the statement "includes..." in the case of one or more devices, subsystems, elements, structures, or components does not, without further limitations, preclude the existence of other devices, subsystems, elements, structures, components, or additional devices, subsystems, elements, structures, or components.

[0023] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as understood by a person skilled in the art in the field of the invention. The systems, methods, and examples provided herein serve only for illustration and are not to be construed as limitations.

[0024] Embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.

[0025] Fig. Figure 1 shows a block diagram of an AI-integrated drug delivery system (100) according to an embodiment of the present disclosure.

[0026] Referring to Fig. 1 The system (100) comprises: a central processing unit (102) configured to execute scheduling algorithms, process sensor inputs, control motor operations, manage display outputs, and handle wireless communication, the central processing unit (102) also being configured to execute AI inference models for voice command recognition and scheduling optimization; a flexible OLED display (104) operationally connected to the central processing unit (102) and configured to display medication schedules, the current time, medication information, and user reminders; an audio subsystem (106) connected to the central processing unit (102) and configured to generate voice alerts for medication reminders and receive voice commands from users;a visual monitoring module (108) connected to the central processing unit (102) and configured to capture visual confirmation of medication dispensing and to monitor user presence; a motor and encoder subsystem (110) connected to the central processing unit (102) and configured to perform precise rotary movements for medication dispensing with position feedback; a user interaction module (112) connected to the central processing unit (102) and configured to receive manual inputs for override operations and system navigation; a power supply subsystem (114) configured to provide regulated power to all system components using rechargeable battery technology;and a wireless communication module (116) connected to the central processing unit (102) and configured to connect to external devices via Bluetooth Low Energy and Wi-Fi protocols.

[0027] In one embodiment, the central processing unit (102) comprises an ESP32-S3 microcontroller with dual-core architecture, wherein the ESP32-S3 microcontroller is configured to: process real-time scheduling operations; execute TensorFlow Lite Micro models for local inference artificial intelligence; and manage multiple concurrent processes, including sensor monitoring, motor control, display output, and communication protocols.

[0028] In one embodiment, the flexible OLED display (104) is connected to the central processing unit (102) via a display controller and communicates using the I2C communication protocol. The flexible OLED display (104) has a curved form factor configured for mounting on curved or rounded surfaces. The central processing unit (102) is configured to display medication information, reminders, and system status in real time on the flexible OLED display (104).

[0029] In one embodiment, the audio subsystem (106) comprises: a loudspeaker connected to the central processing unit (102) via an amplifier; and a microphone enabling basic keyword recognition or voice input, wherein the loudspeaker is configured to play predefined medication alerts and system notifications, and the microphone is configured to perform keyword recognition for voice commands, and wherein the audio subsystem (106) is configured to receive voice confirmation commands from the user.

[0030] In one embodiment, the visual monitoring module (108) comprises a camera module that is connected to the central processing unit (102) via serial or DVP communication, wherein the visual monitoring module (108) is configured to capture visual confirmations of medication dispensing events, detect the presence of the user, and perform machine learning-based user verification and intake compliance monitoring.

[0031] In one embodiment, the motor and encoder subsystem (110) comprises: a micro DC motor with a magnetic encoder; and a motor driver, wherein the magnetic encoder is configured to enable precise positioning, wherein the motor driver is controlled via GPIO signals from the central processing unit (102), and wherein the feedback loop confirms the correct rotation of the motor via a GPIO interrupt.

[0032] In one embodiment, the user interaction module (112) comprises several tactile buttons, wherein the tactile buttons are assigned to configurable GPIO pins of the microcontroller of the central processing unit (102), wherein the user interaction module (112) is configured to enable manual triggering of dispensing operations, provide navigation controls for medication plans, and allow resetting of the system configuration.

[0033] In one embodiment, the power supply subsystem (114) comprises: a rechargeable lithium-ion battery; a charging circuit; a boost converter; and a voltage regulation circuit, wherein: the charging circuit is configured to manage battery charging operations; the boost converter is configured to provide a 5 V power supply for peripheral components; and the voltage regulation circuits are configured to provide a regulated 3.3 V power supply for the central processing unit (102) and the sensor modules, and wherein the power supply subsystem (114) is configured to maintain continuous operation during drug delivery cycles.

[0034] In one embodiment, the wireless communication module (116) includes integrated Bluetooth Low Energy and Wi-Fi functions of the ESP32 microcontroller (102), wherein the wireless communication module (116) is configured to establish BLE connections for device pairing operations and Wi-Fi connections for remote synchronization, and wherein the wireless communication module (116) is configured to support wireless firmware updates.

[0035] In one embodiment, the system (100) also includes an application interface (118) configured to synchronize medication plans, track compliance logs, and provide remote system management, wherein a mobile application on a user device with the application interface (118) is configured to connect to the medication delivery system (100) via Bluetooth or WLAN to schedule medications, track logs, update firmware, and perform emergency overrides.

[0036] The present invention relates to an AI-integrated medication dispensing system that provides an intelligent solution for medication management. At its core, the system utilizes an ESP32-S3 microcontroller with a dual-core architecture, which serves as the central processing unit and is configured to execute complex scheduling algorithms, simultaneously process multiple sensor inputs, control precise motor operations, and manage various communication protocols. The system incorporates artificial intelligence capabilities through TensorFlow Lite Micro models, enabling local inference for voice command recognition and scheduling optimization. This allows the system to learn from user behavior patterns and adapt to individual medication needs over time.

[0037] The system also includes a flexible OLED display with SH1107 or SSD1309 display controllers, which connect to the central processing unit via the I2C communication protocol. The display has a curved shape that allows mounting on various surfaces while dynamically displaying medication schedules, the current time, medication information, and user reminders in real time. The audio subsystem integrates a MAX98357A I2S amplifier-driven loudspeaker with SPH0645 or INMP441 microphones to create a comprehensive voice interaction system that generates medication alerts, accepts voice confirmation commands, and performs keyword recognition for hands-free operation.

[0038] The system also features visual monitoring capabilities through an OV2640 camera module, which connects to the central processing unit via serial or DVP communication protocols. This enables visual confirmation of medication dispensing, user presence detection, and machine learning-based user verification for enhanced compliance monitoring. The system's precision dispensing mechanism incorporates a micro DC motor with a magnetic encoder, controlled by a DRV8833 motor driver circuit. This provides accurate rotational positioning with real-time feedback via GPIO interrupt mechanisms to ensure correct medication tray alignment and reliable dispensing.

[0039] The system features several tactile buttons to facilitate user interaction. These buttons are mapped to configurable GPIO pins, enabling manual override operations, schedule navigation, and system configuration adjustments. The system's power supply subsystem utilizes a rechargeable 18650 lithium-ion battery managed by a TP4056 charging circuit. The MT3608 boost converter provides 5V power for peripherals, and voltage regulator circuits deliver 3.3V to the microcontroller and sensors, ensuring continuous operation during critical drug delivery cycles.

[0040] The system features integrated Bluetooth Low Energy and Wi-Fi capabilities and supports device pairing, remote synchronization, wireless firmware updates, and seamless integration with a mobile application interface, enabling comprehensive medication plan management, compliance tracking, and remote system control. The system's operational workflow includes automated planning triggers, multimodal user notifications, confirmation logs, precise dosing with visual documentation, compliance logging, and adaptive missed-dose alerts. This creates a complete medication management ecosystem that improves patient safety and treatment outcomes.

[0041] Fig. Figure 3 illustrates a block diagram showing the configuration and functional modules of the system according to one embodiment of the present disclosure.

[0042] With reference to Fig. 3. The system mainly comprises a microcontroller and core logic that is operationally connected to other components of the system, including: a display system, an audio subsystem, a visual monitoring component, a communication module, a power supply subsystem, a user interaction module, and a motor and encoder subsystem, each component as well as its configuration and function being described below.

[0043] Microcontroller and core logic: The system utilizes an ESP32-S3-based microcontroller with a dual-core architecture, configured for scheduling, sensor input, motor control, display output, and communication. The microcontroller is also configured to run or implement TensorFlow Lite Micro models for local AI inference, such as voice command recognition or scheduling optimization.

[0044] Display system: The system includes a flexible OLED display controlled via I2C communication with a microcontroller. The display system uses the SH1107 or SSD1309 display driver. The display has a curved shape, allowing mounting on curved or rounded surfaces. The flexible display is configured to show the current time, medication information, and reminders.

[0045] Audio Subsystem: The system includes an audio subsystem with a speaker connected to the microcontroller via the MAX98357A I2S amplifier. The audio subsystem also includes a microphone (SPH0645 or INMP441) for simple keyword recognition or voice input. The audio subsystem can play predefined alert messages and accept keyword commands ("Output Now").

[0046] Visual Monitoring Module: The system includes a visual monitoring module that captures visual confirmation of dispensing or user presence. The module consists of an OV2640 or similar camera module connected to a microcontroller via a serial interface or DVP. The module can be used for machine learning-based user verification or compliance with receipt regulations.

[0047] Motor and encoder subsystem: The subsystem includes a micro DC motor with a magnetic encoder for precise positioning, with the motor driven by a DRV8833 motor driver, using a feedback loop via GPIO interrupt to confirm correct rotation.

[0048] The user interaction module: The system includes a user interaction module consisting of several tactile buttons that are mapped to configuration GPIOs, with the module configured to allow manual triggering, navigation through schedules, or resetting configurations.

[0049] Power supply subsystem: The system includes a power supply subsystem that comprises a rechargeable 18650 Li-ion battery, a TP4056 charging circuit, an MT3608 boost converter for 5V peripherals, and a voltage regulator to 3.3V for the MCU and sensors.

[0050] Communication module: The system includes a communication module that utilizes the microcontroller's integrated BLE and WiFi functions. The communication module enables the interface to mobile applications and uses BLE for pairing and Wi-Fi for remote synchronization.

[0051] In one embodiment, the microcontroller is ARM-based and supports real-time planning and AI inference with TensorFlow Lite Micro.

[0052] In one embodiment, the OLED display is flexible and allows curved or portable surfaces for dynamic UI interaction.

[0053] In one embodiment, the speech interaction module includes a microphone, a loudspeaker, and an audio processor to transmit reminders, accept simple commands, and confirm actions.

[0054] In one embodiment, the camera module is used to detect the user's presence, confirm dose intake, or log visual events for compliance monitoring.

[0055] In one embodiment, the system includes a mobile application that connects to the delivery system via Bluetooth or WLAN to schedule medication intake, track logs, update firmware, or perform emergency overrides.

[0056] In one embodiment, the power supply system includes a rechargeable battery, a USB charging module (TP4056) and a boost converter (MT3608) to supply various subsystems with regulated power.

[0057] In one implementation, medication dispensing includes: receiving a schedule trigger; activating motorized dispensing; displaying instructions on a flexible OLED; issuing a voice alert; capturing camera feedback for compliance; and updating mobile logs and learning behavior over time.

[0058] In one implementation, the MCU (microcontroller) triggers a scheduled dispensing cycle at preset or dynamically determined times. A voice alert then sounds through the speaker, and the OLED display shows medication information. If configured, the device waits for voice confirmation ("Take now") or a button press. The motor rotates the appropriate compartment, and encoder feedback confirms the position. The camera captures a photo or short video clip to document the medication intake. This record is sent to the mobile app and / or the cloud. If a dose is missed, the system alerts or notifies the healthcare provider again. All activities are stored for compliance analysis using on-device A.

[0059] Fig. Figure 3 shows an isometric view of the proposed AI-integrated drug delivery system according to an embodiment of the present disclosure.

[0060] Fig. Figure 4 shows (a) a front and (b) a rear view of the proposed AI-integrated drug delivery system according to an embodiment of the present disclosure.

[0061] Fig. Figure 5 shows (a) the right and (b) the left side of the proposed AI-integrated drug delivery system according to an embodiment of the present disclosure.

[0062] In one embodiment, the proposed system comprises: a central processing unit; a flexible OLED display for showing medication plans and alerts; an I2S-connected speaker and microphone subsystem; a camera module for visual confirmation; a motor with an encoder mechanism for dosage control; multiple selection buttons for manual override or interaction; a rechargeable battery circuit and power management; and a mobile application that communicates via BLE / WLAN. The system is mounted on a custom-designed circuit board with optimally routed components and headers.

[0063] In Fig. Figure 4(a) shows the large number of tactile buttons on the front or front panel of the system in a front view.

[0064] In Fig. 5(b) shows the connection for charging the battery in the left view; next to it is a speaker output.

[0065] The proposed system offers several advantages over the state of the art, including: integration of a flexible display for compact, curved interfaces; real-time visual verification via camera; local AI via MCU for intelligent scheduling and voice interaction; portable and energy-autonomous operation via a power supply module; and seamless mobile integration for remote care.

[0066] The proposed system can be used for personal medication management, elderly and dementia care, remote monitoring of healthcare, and in smart clinics and pharmacies.

[0067] The drawings and the preceding description show examples of embodiments. Those skilled in the art will recognize that one or more of the described elements can be combined to form a single functional element. Alternatively, certain elements can be divided into several functional elements. Elements of one embodiment can be added to another embodiment. For example, the sequence of the processes described here can be changed and is not limited to the manner described here. Furthermore, the actions of a flowchart need not be implemented in the sequence shown; nor does it necessarily have to be performed by all actions. Actions that are not dependent on other actions can also be performed in parallel with the other actions. The scope of the embodiments is in no way limited by these specific examples.Numerous variations are possible, whether explicitly stated in the specification or not, such as differences in structure, dimensions, and material use. The range of embodiments is at least as broad as specified in the following claims.

[0068] Advantages, further benefits, and problem solutions have been described above with reference to specific embodiments. However, the advantages, benefits, problem solutions, and all components that can lead to an advantage, benefit, or solution occurring or becoming more apparent are not to be construed as critical, necessary, or essential features or components of individual or all claims. REFERENCES 100 An AI-integrated system for dispensing medication. 102 Central unit 104 Flexible OLED Display 106 Audio Subsystem 108 Visual Monitoring Module 110 Motor and Encoder Subsystem 112 User Interaction Module 114 Power supply subsystem 116 Wireless Communication Module 118 Application interface 202 Display system 204 Audio Subsystem 206 Motor and Encoder Subsystem 208 Visual Surveillance 210 Microcontrollers and Core Logic 212 Power supply subsystem 214 Communication module 216 User Interaction Module

Claims

[1] An AI-integrated drug delivery system consisting of: a central processing unit configured to execute planning algorithms, process sensor inputs, control motor operations, manage display output and handle wireless communication, wherein the central processing unit is further configured to execute AI inference models for voice command recognition and planning optimization; a flexible display that is operationally connected to the central processing unit and configured to display medication plans, the current time, medication information, and user reminders; an audio subsystem connected to the central unit, configured to generate voice alerts for medication reminders and to receive voice commands from users; a visual monitoring module connected to the central processing unit and configured to capture visual confirmation of medication dispensing and monitor the user's presence; a motor and encoder subsystem connected to the central processing unit, configured to perform precise rotary movements for drug delivery with position feedback; a user interaction module connected to the central processing unit, configured to receive manual input for override operations and system navigation; a power supply subsystem configured to provide regulated power to all system components using rechargeable battery technology; and a wireless communication module connected to the central processing unit, configured to connect to external devices via the Bluetooth Low Energy and Wi-Fi protocols. [2] System according to claim 1, wherein the central processing unit comprises a microcontroller with dual-core architecture, the microcontroller being configured for: handling real-time planning operations; executing AI models for local inference artificial intelligence; and managing multiple concurrent processes, including sensor monitoring, motor control, display output, and communication protocols. [3] System according to claim 1, wherein the flexible display is connected to the central processing unit via a display controller, wherein the flexible display has a curved form factor configured for mounting on curved or rounded surfaces; and wherein the central processing unit is configured to display medication information, reminders and system status in real time via the flexible display. [4] System according to claim 1, wherein the audio subsystem comprises: a loudspeaker connected to the central unit via an amplifier; and a microphone enabling basic keyword recognition or voice input, wherein the loudspeaker is configured to play predefined medication alerts and system notifications, and the microphone is configured to perform keyword recognition for voice commands, and wherein the audio subsystem is configured to receive voice confirmation commands from the user. [5] System according to claim 1, wherein the visual monitoring module comprises a camera module connected to the central processing unit, wherein the visual monitoring module is configured to capture visual confirmations of medication dispensing events, detect the presence of the user, and perform machine learning-based user verification and intake compliance monitoring. [6] System according to claim 1, wherein the motor and encoder subsystem comprises: a micro DC motor with magnetic encoder; and a motor driver, wherein the magnetic encoder is configured to enable precise positioning, wherein the motor driver is controlled by the central processing unit and wherein the feedback loop confirms the correct rotation of the motor via a GPIO interrupt. [7] System according to claim 1, wherein the user interaction module comprises multiple tactile buttons, the tactile buttons being assigned to configurable pins of the microcontroller of the central processing unit, wherein the user interaction module is configured to enable manual triggering of dispensing operations, provide navigation controls for medication plans and allow resetting of the system configuration. [8] System according to claim 1, wherein the power supply subsystem comprises: a rechargeable lithium-ion battery; a charging circuit; a boost converter; and a voltage regulation circuit, wherein: the charging circuit is configured to manage battery charging operations; the boost converter is configured to provide a 5 V power supply for peripheral components; and the voltage regulation circuits are configured to provide a regulated 3.3 V power supply for the central processing unit and sensor modules, and wherein the power supply subsystem is configured to maintain continuous operation during drug delivery cycles. [9] System according to claim 1, wherein the wireless communication module comprises integrated Bluetooth Low Energy and Wi-Fi functions of the microcontroller, wherein the wireless communication module is configured to establish BLE connections for device pairing operations and Wi-Fi connections for remote synchronization, and wherein the wireless communication module is configured to support wireless firmware updates. [10] The system according to claim 1 further comprises an application interface configured to synchronize medication plans, track compliance logs and provide remote system management, wherein a mobile application on the user device is configured with the application interface to connect to the medication delivery system via Bluetooth or WLAN to plan medications, track logs, update firmware and perform emergency overrides.

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