RhythmScope
Interactive ECG arrhythmia detection dashboard combining hybrid AI, physiological analysis, validation results, and a Flask API.
- Python
- Flask
- Deep learning
- Chart.js
Computer science student / practical builder
I’m Karthik, a third-semester CSE student at RVCE. I build across systems, applied AI, data, and the web—usually around a problem I want to understand properly.
Karthik / BengaluruCurrent coordinates
I’m studying Computer Science and Engineering at RVCE, currently in my third semester. My work moves between low-level performance tooling, data-heavy dashboards, browser extensions, desktop utilities, and applied AI.
I like projects with a clear job to do: measure performance honestly, make public transport data useful, reduce digital distraction, or add a safety layer where software can help.
Selected from my current public GitHub work.
Interactive ECG arrhythmia detection dashboard combining hybrid AI, physiological analysis, validation results, and a Flask API.
Hybrid MMAS–ABC bus optimization using real-world GPS data to study driving cycles, congestion, fuel efficiency, and emissions.
A cross-platform benchmarking and regression-detection CLI with paired statistics, peak-memory scaling, Linux perf counters, CI gates, and exportable reports.
A Chrome extension for blocking distracting websites with manual blocklists, whitelist-only mode, and optional Gemini guidance based on a daily focus goal.
Autonomous seller and buyer agents negotiate industrial by-product deals, with deterministic validation against invented prices, leaked limits, and fake offers.
A Windows desktop application that detects potentially photosensitive seizure-triggering screen patterns and applies a temporary blackout shield.
What I work with
Python · C · C++ · JavaScript · HTML · CSS · SQL
Flask · FastAPI · Chart.js · REST APIs · GitHub Actions
Machine learning · Deep learning · LLM integration · Optimization
Git · CMake · Linux perf · Testing · Benchmark design
Bengaluru · India