Faiyaz Hussain H - Portfolio

Projects

Sepsis Disease Predictor

Developed a predictive model using Python and Scikit-learn to detect Sepsis in its early stages. This model contributes to healthcare by predicting Sepsis risk based on patient data, allowing for timely medical intervention and improving patient outcomes.

Real-Time System Monitoring

Built a web-based interface to monitor real-time performance metrics like GPU and memory usage, enhancing the efficiency of machine learning processes. This project provides instant feedback on resource utilization to optimize performance for intensive ML workloads.

Automatic Accident Alert System

Created a hardware system using Arduino and GSM modules that detects accidents and immediately notifies emergency contacts. This system can reduce response time in emergencies, potentially saving lives by delivering real-time accident alerts to designated contacts.

Smart Waste Management

Designed an intelligent waste bin system that opens and closes automatically when a user approaches. Once the bin is full, it uses an ESP32 microcontroller and Twilio API to send SMS alerts to residents and the public services department, ensuring timely waste collection. This system helps prevent overflow, mitigate pollution risks, and protect public health by reducing exposure to waste.

Skills

Proficient in various programming languages and technologies including:

Programming Languages: C, C++, Python, JavaScript, SQL
Web Development: MERN Stack (MongoDB, Express.js, React, Node.js), HTML, CSS
Machine Learning: OpenCV, Scikit-learn
Tools: VS Code, Git, GitHub, Linux (Ubuntu)
Soft Skills: Teamwork, Creativity, Public Speaking, Problem Solving

Experience

Novitech Bootcamp (July 2024–Aug 2024)

Completed an intensive MERN stack bootcamp, enhancing full-stack web development skills through hands-on projects and collaboration.
Gained proficiency in front-end development, backend API handling, and database integration.

Achievements

1st Place at Techknow Fest (Semiconductor Project)
2nd Place at Hack-a-tank among 30 Teams, SRM Valliammai Engineering College (Cash Prize Rs.8,000)
4th Place at Hack Odyssey among 100 Teams, Kalasalingam University
Participated in multiple hackathons, including Hack-o-holics, Appathon, and Red Bull Basement powered by Microsoft AI.