This project extends the Real-Time ADS-B Tracking and Collision Warning System developed in the previous semester. Our goal is to enhance both the detection intelligence and the performance of the existing system while maintaining real-time, web-based visualization of aircraft activity.
The project focuses on experimenting with modern algorithms for collision and anomaly detection, using the baseline CPA (Closest Point of Approach) method as a reference. By incorporating live flight data from the OpenSky Network, we aim to create a more realistic and responsive environment for analyzing aircraft interactions.
Ultimately, this system is intended to serve as a testbed for real-time air traffic analytics, enabling further research into predictive safety systems and intelligent airspace monitoring.
- Stream and visualize live ADS-B flight data from the OpenSky API.
- Display aircraft positions, trajectories, and metadata using a 3D web map powered by Mapbox and deck.gl.
- Support interactive features such as aircraft selection, filtering by type, and adjustable view layers.
- Baseline CPA (Closest Point of Approach) model for collision prediction.
- Experimental integration of machine learning algorithms to enhance detection accuracy.
- Configurable detection thresholds (horizontal/vertical separation, prediction horizon, sensitivity).
- Real-time visual alerts with color-coded risk levels.
- Record live traffic sessions into a structured local database for offline analysis.
- Support playback mode with timeline controls, adjustable speed, and synchronized visualization.
- Store data in an efficient format for future ML model training and benchmarking.
- Migration to Mapbox/deck.gl for improved rendering performance and modern UI capabilities.
- Backend optimization for handling large-scale air traffic datasets.
- Streamlined API and data pipeline built with FastAPI for responsiveness and modularity.
- TBD
Hi! I’m Sanath Nair, a Mathematics and Computer Science student at the University of Illinois Urbana–Champaign, graduating in May 2026. I’m passionate about building high-performance backend and distributed systems, as well as AI applications and infrastructure that improve productivity and reliability at scale. At ModAI (YC F25), I designed and deployed cloud-native automation pipelines using AWS services like Lambda, S3, and Textract, integrating them with enterprise systems to streamline workflows. At Adyen, I engineered observability and feature management tooling across large monorepos, leveraging Prometheus, Grafana, and Elasticsearch to enhance performance and monitoring. In research, I developed automated trading data collection systems and privacy-preserving LLM pipelines for structured data extraction. I’m open to full-time software engineering roles starting in Summer 2026.
sanathnair09@gmail.com | LinkedIn | Github
Hi! My name is Karan Kashyap, and I’m a Computer Science student at the University of Illinois Urbana-Champaign, expecting to graduate in May 2026. I’m passionate about software engineering, particularly where it intersects with automotive technology and real-world innovation. I enjoy working on both front-end and back-end development, and I’ve gained hands-on experience through coursework, personal projects, and my past software engineering internships. I’m always looking to collaborate on impactful projects and explore new technologies that challenge me to grow as a developer. I am currently open to potential full-time and internship roles in software engineering starting in Summer 2026.
karan10@illinois.edu | LinkedIn | Github | Gitlab
👋 Hey! My name is Dev Patel, and I’m a Computer Science major at the UIUC, graduating in May 2026. I’m passionate about machine learning and am currently learning more about adversarial neural networks. I have recently been focused on back-end development, and I’ve gained hands-on experience through projects, internships, and other involvements. I’m open to working on any new projects that align with my past experience, so reach out if there is a fit! Also, I am currently open to any full-time roles in software engineering or ML starting in the Summer of 2026.
devrp3@illinois.edu | LinkedIn | Github | Gitlab
Howdy!! My name is Vraj Patel, and I’m a Computer Science major at the University of Illinois Urbana-Champaign, expecting to graduate in May 2026. Through my past internships/experiences, I have worked on full-stack/mobile app development, distributed systems, and applied AI. I am a dedicated student, passionate about creating impactful solutions, and am actively seeking full time roles in software engineering/technology roles with start dates after May 2026!!