Real-Time Sensor Data Visualization For Aerospace Systems (Full Stack)
- Technologies Used: Python, Flask, JavaScript, Chart.js, JustGage, HTML5, CSS, Moment.js, AWS EC2, REST APIs- Developed and deployed a real-time sensor data visualization web application simulating an aerospace environment using EC2 to provide public access.- Integrated OpenWeather API and Open-Elevation API to gather real-time weather data such as temperature, wind speed, and altitude, and visualized this data using gauge meters and line charts.- Designed an airplane-themed cockpit interface with animated gauges and flashing indicators for real-time anomaly alerts, ensuring a user-friendly and engaging display.- Trained and implemented an Isolation Forest machine learning model to detect and highlight anomalies in sensor data in real-time, leveraging Pythonʼs scikit-learn library.- Deployed the application to an AWS EC2 instance using Flask to host the web app, incorporating SSH access, keypair authentication, and a custom security group for safe deployment.- Utilized AWS S3 for data storage, enabling secure backup and management of historical sensor data, with regular updates reflecting live weather conditions.