IoT Integrated Smart Medication System using Machine Learning for Enhanced Rural Healthcare
Published in IEEE Xplore (2026)
This research proposes an AI-powered medicine vending system that utilizes CNNs for symptom-based prediction and IoT for automated dispensing, aiming to improve healthcare accessibility in rural areas.
- π Read the Paper: IEEE Xplore Link
- π» View Code: GitHub Repository
- Machine Learning Algorithms
- Model Deployment (Flask, Streamlit, FastAPI)
- Deep Learning (CNNs, RNNs)
- Data Analysis and Feature Engineering
- ML Frameworks: Scikit-Learn, TensorFlow, PyTorch
- Languages: Python, Java
- Data Tools: Pandas, NumPy, Matplotlib
- Deployment: Flask, Streamlit, API integration
- π§ Email: nikhil.030305@gmail.com
- π LinkedIn: linkedin.com/in/nikhil-more-3a4a19251/
- I love building intelligent apps that solve real-life problems using AI/ML. Currently obsessed with deploying cool models on the web! π€





