
Health Monitoring System
A real-time system integrating IoT sensors, predictive ML analytics, alerts, and a web dashboard for patients and doctors.
DetailsI build scalable SaaS products and AI-driven experiences. From prototyping ML models to shipping production-grade web apps, I focus on clean architecture, fast iteration, and measurable impact.
Frameworks & Libraries: TensorFlow, Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn, Keras, PyTorch, OpenCV
Expertise: Data preprocessing, feature engineering, model development, training, and evaluation
Tools & Libraries: Seaborn, Matplotlib, Tableau, Power BI, SQL (MySQL, PostgreSQL, BigQuery)
Techniques: Exploratory Data Analysis (EDA), data visualization, dashboard creation, and statistical analysis
Backend: Django, Flask, PHP
Frontend: React, Angular, Bootstrap, JavaScript, Web Sockets
APIs & Integration: RESTful APIs, Webhooks, third-party API integration
Version Control: Git, GitHub, GitLab
CI/CD Tools: GitHub Actions, Docker
Cloud Platforms: Google Cloud Platform (GCP), Microsoft Azure
Proficient in Python, C/C++, C#, and JavaScript
Technologies: Digital Logic Design, Python, C/C++, Arduino IDE
Microcontrollers: Raspberry Pi, Arduino, ESP
A real-time system integrating IoT sensors, predictive ML analytics, alerts, and a web dashboard for patients and doctors.
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