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    • Nukes

      Public
      The Nuclear Detonation Detector App is a mobile application designed for advanced detection of potential nuclear detonations. Utilizing a machine learning model trained on satellite imagery and Twitter data, The app efficiently manages alerts and enables real-time communication with integrated controllers, AlarmManager, and Ktor.
      Kotlin
      0000Updated Dec 18, 2023Dec 18, 2023
    • This project deploys machine learning models, incorporating Principal Component Analysis (PCA) and XGBoost, within a Flask API. Serialized using pickle, the models are seamlessly integrated into the API, enabling users to make predictions on-the-fly.
      Python
      1000Updated Dec 18, 2023Dec 18, 2023
    • FaceArtify is an advanced Android application that blends machine learning with creative functionalities. The app uses TensorFlow Lite with Convolutional Neural Networks (CNN) and Kaggle datasets to identify face shapes in images. It also incorporates a separate machine learning model to cartoonize image
      Kotlin
      0500Updated Dec 18, 2023Dec 18, 2023
    • Technify

      Public
      Technify is a dynamic Android app blending note-taking and video conferencing. Built with modern Android practices, it uses MVVM, HILT, Coroutines, and Retrofit for API integration. Enjoy a responsive UX, robust authentication, validation, and a seamless signup/login flow.
      Kotlin
      0000Updated Dec 18, 2023Dec 18, 2023
    • The app utilizes advanced computer vision algorithms with OpenCV for eyeball detection. Through image processing, the application dynamically analyzes the input image from the device's camera, identifying and precisely outlining the contours of the user's eyeballs. This involves edge detection, contour recognition, and geometric analysis
      C++
      0100Updated Dec 18, 2023Dec 18, 2023