Ritesh Salve - Data Scientist | ContraWork by Ritesh Salve
Ritesh Salve

Ritesh Salve

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Cover image for ๐Ÿ” Crypto Fraud Intelligence โ€”
๐Ÿ” Crypto Fraud Intelligence โ€” Blockchain Transaction Analysis & Fraud Detection Built an AI-powered crypto fraud detection platform that analyzes blockchain wallet transactions to identify suspicious clusters, money flow patterns, and high-risk addresses in real time. ๐Ÿ”ง Key Features: โ€ข Transaction Network Graph โ€” interactive visualization mapping wallet-to-wallet connections to detect circular fund flows and coordinated fraud rings โ€ข Suspicious Cluster Detection โ€” automatically flags high-risk wallet groups (e.g. 41 wallets ยท high risk ยท $1,297,232.82 flow) โ€ข Wallet Risk Scoring โ€” classifies addresses by risk level using graph-based ML algorithms โ€ข Real-time Blockchain Data Analysis โ€” tracks fund movement across wallets to surface hidden patterns ๐Ÿ›  Tech Stack: Python, Graph Neural Networks / NetworkX, Blockchain APIs, React.js, D3.js / Cytoscape for network visualization A powerful tool for crypto compliance teams, fraud analysts, and DeFi platforms to detect and prevent financial crimes on-chain.
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Cover image for ๐ŸŒฑ Smart Farm AI โ€”
๐ŸŒฑ Smart Farm AI โ€” ML-Powered Agricultural Control Center Built a full-stack AI dashboard that brings precision agriculture to life. This Smart Farm AI platform integrates real-time IoT sensor data with machine learning models to help farmers make smarter, data-driven decisions. ๐Ÿ”ง Key Features: โ€ข Live IoT Sensor Monitoring โ€” tracks Temperature (35.4ยฐC), Humidity (46.7%), Soil Moisture (63.4%), Soil pH (6.94), and Rainfall (12.2mm) in real time โ€ข ML Crop Recommender โ€” uses Nitrogen, Phosphorus, Potassium, Soil pH, Temperature & Humidity inputs with a KNN Classifier to suggest the best crop โ€ข AI Disease Diagnosis โ€” drag & drop a plant leaf image for instant disease detection powered by a CNN Classifier (OpenCV) โ€ข Visualizations & Diagnostics tab for deeper data analysis ๐Ÿ›  Tech Stack: React / Next.js frontend, Python ML backend, IoT sensor integration, OpenCV, deployed on Netlify A complete end-to-end solution bridging IoT hardware, machine learning, and intuitive UI design for modern smart farming.
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