Ankit Parwatkar

Config files for my GitHub profile.

FraudGuard Pro is an advanced AI-powered web application designed to detect fraudulent transactions in real-time using multiple machine learning models. This application provides financial institutions and payment processors with a powerful tool to identify and prevent fraudulent activities.

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📊 Customer Churn Prediction App A Streamlit-powered dashboard that predicts customer churn risk using a TensorFlow neural network. Input customer details (credit score, tenure, activity, etc.) and instantly see predictions with explainable AI insights. Built for businesses to reduce attrition proactively.

CardioSafe AI: A Streamlit web app leveraging machine learning to predict heart disease risk. Features interactive patient data inputs, real-time risk analysis with visual feedback, and emergency health guidelines. Includes developer profile links and dynamic UI elements. Ideal for healthcare AI demonstrations and preventive cardiology insights. ❤️

This repository contains a custom implementation of YOLOv10 for object detection focused on detecting 5 vehicle classes: Ambulance, Bus, Car, Motorcycle, and Truck. The project includes dataset preparation, visualization, model training, and inference pipelines

MobiCost Analyzer is an intelligent web application that predicts smartphone price ranges based on technical specifications. Built with Streamlit and powered by machine learning, this tool helps consumers, retailers, and manufacturers understand market positioning and value propositions for mobile devices.

Quantum Finance AI: A Streamlit app leveraging LR machine learning for stock price forecasts. Features a cyber-themed UI with animated particles, synced sliders, and real-time analytics. Includes historical trend visualization and performance metrics (MAE, R²). Note: "Quantum" refers to aesthetics, not quantum computing. Deployable via Streamlit

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An immersive AI-powered web app that predicts forest cover types using cartographic data with a stunning forest-themed interface.

Control Subway Surfers with hand gestures via webcam! Uses Python, MediaPipe, and Selenium for real-time motion tracking and browser automation. Map fingers to keyboard actions (jump, roll, dodge) effortlessly.

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This project leverages machine learning to predict stock prices, utilizing historical data and advanced algorithms to forecast future market trends. By employing techniques like regression and time series analysis, the model provides insights for investors to make informed decisions and optimize their trading strategies. 📈🚀

Machine learning is a field of artificial intelligence that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention. By leveraging algorithms and statistical models, it powers applications ranging from predictive analytics to autonomous systems. 📊🤖

Python is a versatile, high-level programming language known for its simplicity and readability. Python libraries, like NumPy for numerical operations, pandas for data analysis, Matplotlib for plotting, and provide extensive pre-built functions that streamline complex tasks, making Python powerful for various applications.

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Welcome to the Power BI Repository! This repository hosts a collection of projects, dashboards, reports, and data models designed to deliver insightful analytics and data visualizations. Whether you're exploring business KPIs, analyzing trends, or creating interactive visuals, this repository provides valuable tools and resources.

Ankit Parwatkar is a highly skilled data scientist with expertise in artificial intelligence and machine learning. Proficient in a range of programming languages, including Python, C++, and HTML/CSS, Ankit has a strong foundation in computer science. He is well-versed in data visualization tools such as Power BI and Tableau, and more

C is a powerful, low-level programming language often used for system programming and embedded systems due to its efficiency. C++ builds on C by adding object-oriented features, making it suitable for software development, game programming, and performance-critical applications. Both languages provide fine control over system resources.

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Web scraping with Beautiful Soup and Python allows extracting data from websites. By parsing HTML and XML documents, Beautiful Soup enables users to navigate, search, and modify web data efficiently. This powerful combination facilitates data collection for analysis, research, and automation tasks. 🌐🕸️

This machine learning project employs logistic regression to predict the likelihood of heart disease. Using patient data such as age, cholesterol levels, and blood pressure, the model aims to accurately classify individuals at risk, aiding in early detection and preventive healthcare measures. 🌟❤️

A collection of projects showcasing responsive web design, animations, and interactive elements using HTML and CSS. Perfect for beginners and experienced developers looking to enhance their front-end skills.

This project utilizes a Random Forest model to predict student admissions based on various academic and demographic features. By analyzing historical admission data, the model helps universities identify key factors influencing admission decisions, enhancing the efficiency and fairness of the selection process. 🎓🌐

This project utilizes a Random Forest model to predict student admissions based on various academic and demographic features. By analyzing historical admission data, the model helps universities identify key factors influencing admission decisions, enhancing the efficiency and fairness of the selection process. 🎓🌐

An Infosys-inspired website clone emulates the professional and sleek design of the original, showcasing services, solutions, and client stories. It features a user-friendly interface, responsive design, and comprehensive navigation, providing visitors with a seamless browsing experience while maintaining a corporate and modern aesthetic. 🌐✨

A multi-page toy ordering website provides a seamless shopping experience by categorizing toys into various sections like age groups, types, and brands. It features detailed product pages, user reviews, and secure checkout, making it easy for customers to browse, select, and purchase toys online. 🧸🌐