Develop a machine learning model using Python and libraries like TensorFlow or Keras to recognize objects in images. Use datasets like CIFAR-10 or ImageNet to train the model and test its accuracy. Build a user-friendly interface to upload images and demonstrate the model's predictions.
Basic knowledge of Python programming and machine learning concepts.
Understanding of machine learning algorithms and neural networks. Image data preprocessing and model training. Implementing image recognition applications.
Design and develop a task manager mobile app for Android or iOS platforms. The app should allow users to create, edit, and manage their tasks, set reminders, and track task completion progress. Implement a clean and intuitive user interface to enhance user experience.
Familiarity with mobile app development (Android or iOS) and programming languages like Java, Kotlin, Swift, or Flutter.
Mobile app development for real-world applications. User interface (UI) and user experience (UX) design. Implementing features like reminders and data management.
Create a fully functional e-commerce website using HTML, CSS, JavaScript, and any back-end technologies like Node.js, Express, or Django. Implement features such as product listing, cart functionality, user authentication, and payment integration to create a seamless shopping experience.
Basic knowledge of web development technologies (HTML, CSS, JavaScript) and back-end development (optional).
Building a complete web application from scratch. Working with databases and user authentication. Implementing e-commerce features and payment gateways.
