As part of our school’s Real time embedded systems course, our team of 11 members is designing an IoT-powered Smart Pill Dispenser to explore real-world applications of embedded systems, AI, and healthcare technology. This project combines classroom learning with hands-on innovation to solve a critical problem of medication non-adherence. How It Works:
Our smart dispenser automates and monitors medication schedules using:
🔹 Biometric Security – Facial recognition/fingerprint scanning to prevent misuse.
🔹 Real-Time Alerts – Mobile app notifications for missed doses, low stock, or errors.
🔹 RFID Medicine Verification – Ensures the correct pills are loaded.
🔹 Voice Reminders – Makes the system accessible for elderly or visually impaired users.
🔹 Overdose Protection – Blocks incorrect doses and alerts caregivers.
Learning Outcomes:
Through this project, we’re gaining practical experience in:
Collaborative Engineering – Dividing tasks (hardware, software, testing) among team members.
Problem-Solving – Troubleshooting real-world IoT and AI challenges.
User-Centered Design – Conducting research to address patient/caregiver needs.
Presentation Skills – Documenting progress and presenting findings to peers/teachers.
Why It Matters:
Medication errors cause thousands of preventable hospitalizations yearly. By building this prototype, we aim to:
✅ Improve patient safety – Reducing human error in home medication management.
✅ Apply STEM concepts – Bridging theory (coding, circuits, AI) with practical solutions.
✅ Inspire future projects – Encouraging peers to tackle healthcare tech challenges.