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Back to Project Ideas
AI + IoT

Smart Pill Box with Alerts

Explore the Smart Pill Box with Alerts AI + IoT project idea for students. This AI + IoT project builds a connected health monitoring system that tracks vitals and uses AI to detect health ri

Intermediate 5 Days

Abstract

The Smart Pill Box with Alerts is an AI + IoT project that combines Data logging and Data aggregator, built with Cloud dashboard. The project follows a clean, modular pipeline where sensor data acquisition, AI processing, and presentation stay separated, making it easy to test, extend, and present. It showcases practical AI and IoT techniques while producing a working, demo-ready system.

Problem Statement

Manual monitoring and decision making for this task is slow, inefficient, and cannot scale across many devices. Without an AI + IoT approach built on Data aggregator and Cloud dashboard, users cannot collect data from the physical world and act on it intelligently in real time.

Proposed Solution

This project applies AI + IoT techniques through Data logging, orchestrated with Cloud dashboard and Data aggregator. The system is designed for reliability and intelligence, with sensing, connectivity, AI analysis, and clear evaluation. It produces consistent, reusable results and can be adapted to related smart applications with minimal changes.

Technology Stack

Cloud dashboard ESP32 / Raspberry Pi ESP32 / Arduino / Raspberry Pi MQTT / HTTP Machine learning models Heart rate sensor Temperature sensor

Key Features

Modular IoT pipeline around Data logging and Data aggregator Configurable sensor and AI settings Real-time data collection and monitoring Clear alerts, logging, and error handling Reusable components for related smart systems AI based decision and prediction

Architecture

The project is layered: the sensing layer acquires data through Data logging; the connectivity and AI layer processes it with Cloud dashboard and Data aggregator; and the output layer monitors and presents results via Patient dashboard. Shared connectivity, alerting, and dashboard modules support all layers, keeping the system robust and easy to extend.

Implementation Steps

Set up the hardware, sensors, and development environment. Build the sensor data acquisition layer with Data logging. Implement connectivity and AI processing using Cloud dashboard and Data aggregator. Add the dashboard and alert layer via Patient dashboard. Wire up end-to-end flows and add error handling and retries. Test with real data, tune AI models, and refine the system. Package the project, document it, and prepare the demo and viva report.

Learning Outcomes

Build production-style AI + IoT applications Apply Emergency alerting and Collecting health vitals Connect and control IoT hardware Analyze sensor data with machine learning Present and defend a complete AI + IoT project in viva

Future Enhancements

Add edge AI for on-device decisions Add more sensors and cloud services Add mobile app control Deploy on scalable cloud infrastructure

Conclusion

The Smart Pill Box with Alerts delivers a complete AI + IoT workflow — from sensor data acquisition and connectivity to AI analysis and presentation. It is practical, modern, and easy to explain, making it an excellent final year project that demonstrates in-demand AI and IoT skills.

Quick Info

DifficultyIntermediate
Duration5 Days
CategoryAI + IoT

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FAQ

What hardware and tools are used in the Smart Pill Box with Alerts?
The project is built with Cloud dashboard and ESP32 / Raspberry Pi, using standard IoT hardware and cloud services. The full bill of materials, wiring, and code are documented in the project report, and low-cost alternatives are suggested for student budgets.
What level is the Smart Pill Box with Alerts suitable for?
It is rated Intermediate and can be completed in about 5 Days. It suits students who want to build real AI and IoT applications hands-on.
Can I get the source code and documentation for this project?
Yes. The project includes complete source code, hardware setup, implementation steps, learning outcomes, and viva support from the CodeSelf Projects team.

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