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1 year of experience
I am a Doctor of Physical Therapy (DPT) student with a clinical interest in rehabilitation, human movement, and patient recovery. My studies focus on anatomy, biomechanics, therapeutic exercises, and evidence-based physiotherapy practice. I do not have prior experience in artificial intelligence, but I am interested in learning how AI can be applied in clinical rehabilitation. I am currently working on an idea to use AI in physiotherapy to assist with exercise guidance, patient monitoring, and improving treatment outcomes. My aim is to combine clinical knowledge with emerging technology to support better and more accessible rehabilitation care.

QuantTrader Lite is a fully autonomous AI-powered crypto trading agent designed to solve three core problems in modern trading: information overload, lack of trust in AI decisions, and slow human reaction time. Built for the Lablab.ai Hackathon 2026 (Kraken CLI Track), the system continuously fetches live market data, analyzes it using Groq AI (Llama 3), and executes paper trades via Kraken CLI—all without human intervention. 🧠 How It Works The system follows a 5-step autonomous pipeline: Market Data Ingestion Fetches real-time BTC price and 24h change from CoinGecko API. AI Decision Engine Groq-powered Llama 3 analyzes market trends and generates a BUY / SELL / HOLD signal along with a clear, human-readable explanation. Trade Execution The decision is executed using Kraken CLI in sandbox mode (paper trading). Logging & Transparency Every action is recorded in a structured trade_log.json file for auditability. Live Dashboard A Streamlit interface displays signals, trade history, and charts with auto-refresh every 60 seconds. 💡 What Makes It Different Explainable AI Every decision includes a clear reason—no black-box trading. Fully Autonomous Runs continuously with zero human input. Hackathon-Compliant Direct integration with Kraken CLI ensures full alignment with challenge requirements. Simple but Powerful Built entirely in Python with a lightweight, production-ready architecture. 🛠 Tech Stack Groq API (Llama 3) → AI decision-making Kraken CLI → Trade execution (sandbox) CoinGecko API → Live market data Streamlit → Real-time dashboard Python 3.11+ → Core system 🎯 Impact QuantTrader Lite transforms crypto trading from manual, overwhelming, and opaque into a system that is: ⚡ Fast 🔍 Transparent 🤖 Autonomous It not only trades—but also teaches users why each decision is made, bridging the gap between AI and human trust.
12 Apr 2026