telemetry-analysis

Lightweight self-hosted telemetry: errors, events, sessions, and a dashboard. Fastify API, Next.js UI, PostgreSQL, @tacko SDKs.

A three-part toolkit for browser session capture, automated crawling, and offline reconstruction of modern web applications.

F1 data analysis & telemetry workstation — lap comparison, throttle/rpm charts, track visualization

Empirical analysis of LEO satellite network handover behavior using real Starlink performance data. Automated collection of 500+ data points revealing 73% connection stability and optimal elevation angles for satellite positioning.

Python package to help with track data & telemetry data

Free iRacing telemetry viewing software with a focus on customizability. Built using CSV data from Garage61.

Production-ready F1 strategy simulator with real-time telemetry analysis, pit optimization, and faster API responses via Redis caching.

Forza Horizon 6 Telemetry Tracker: Live route view, live telemetry dashboard, session capture, route visualisation, automatic track and car detection.

Zero-allocation Rust engine for predictive telemetry anomaly detection using Topological Data Analysis (TDA). Tracks Betti-1 voids and Euler Characteristic Surface gradients across live data streams to detect structural instability before time-series thresholds fire. Secured with AES-256-GCM, HMAC-SHA256 TCP auth, and Prometheus metrics.

A powerful tool for analyzing telemetry data, leveraging machine learning to automatically detect anomalies and unusual patterns. Ideal for monitoring system health, identifying performance issues, and proactive fault detection.

A high-fidelity sequence-to-one Transformer pipeline designed to forecast Formula 1 race outcomes with 95.47% Podium Accuracy. This project represents a complete end-to-end implementation of a deep learning architecture for temporal racing data. I developed a custom 5-layer Transformer Encoder to process 10-lap sliding windows of telemetry context

A real-time network threat anomaly detector using unsupervised machine learning (Isolation Forest) and Apache Kafka to flag network exploits, scans, and anomalous traffic streams via an interactive Flask dashboard.

Explore AMD Adrenalin Hardware, FPS/Latency, and FrameTime logs. Runs entirely locally in your browser—your logs are never uploaded.

End-to-end telemetry pipeline demo with AI-assisted scenario generation, deterministic synthesis, vector retrieval, and evidence-based summarization.

F1 qualifying prediction system that turns free-practice telemetry into calibrated, leakage-aware forecasts of driver performance.

An event-driven telemetry analysis engine powered by Redis Streams, ONNX edge inference, and TimescaleDB.

Nirvana is an ultra-low-latency, AI-driven emergency response coordinator removing human in the loop for CAD operations in Emergency incidents

A professional-grade binary protocol platform for satellite, aerospace, automotive, and industrial telemetry decoding, analysis, and signal generation.

Valorant Telemetry Studio is an advanced input analysis and computer vision pipeline designed for the Riot Client environment. This analytical framework allows competitive players to track real-time pixel rendering, monitor kernel-level input latencies, and analyze crosshair vector telemetry.

F1 telemetry intelligence system that reconstructs laps meter-by-meter using FastF1 data, compares drivers with millisecond delta alignment, and generates race-engine level insights with interactive visualizations.