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Learn how to build a complete, production-ready mobile application that uses Artificial Intelligence to detect and analyze car sounds. This comprehensive course takes you from Flutter fundamentals to implementing machine learning models that can identify various car sound patterns - from engine problems to horn honks. By the end of this course, you will have built a fully functional Android application that can: - š¤ Record audio in real-time from the device microphone - š§ Process audio using AI/ML models for sound classification - š Display analysis results with beautiful, intuitive visualizations - š¾ Store detection history for future reference - āļø Customize detection settings and preferences
Ed Ease is a cross-platform mobile application built with Flutter that bridges the gap between document processing and interactive learning. This project integrates multiple AI pipelines to solve a common problem: information overload. The app allows users to upload PDF files, which are processed via a backend API to generate text summaries. These summaries are then fed into a video generation engine to produce a synchronized video of an AI avatar presenting the information. Technical Highlights: Frontend: Flutter (Dart) for a seamless cross-platform UI/UX. Input Handling: robust PDF parsing and file management. AI Integration: Connects to LLMs for summarization and Generative Video APIs for avatar creation. State Management: Efficient handling of upload states, processing loading screens, and video playback.
Kickstart your mobile development journey with this comprehensive introduction to Flutter. This course is designed to take you from an absolute beginner to building a cloud-connected application. We begin by setting up your development environment in Android Studio and mastering the fundamentals of the Dart programming language. You will learn how to craft beautiful UIs using Flutter's widget system (Rows, Columns, Scaffolds) and understand the crucial difference between Stateless and Stateful widgets. In the final section, we put theory into practice by integrating Google Firebase. You will build a complete Authentication system from scratch, including Login, Sign Up, and Home screens, resulting in a simple-ready mobile app.
In this comprehensive, project-based course, you will build a fully functional Web Vulnerability Scanner from scratch. You won't just learn the theory; you will code a real tool that users can log into, scan websites for security flaws (like SQL Injection and XSS), and save detailed reports to a database. We move away from simple "Hello World" apps and build a complex, "SaaS" (Software as a Service) style architecture using the industry-standard XAMPP stack. What You Will Build A modern, dark-themed Frontend Dashboard using React.js and Tailwind CSS. A robust Backend API using PHP. A secure Database using MySQL (MariaDB) to store user data and scan logs. A Scanner Engine logic that simulates finding vulnerabilities. Who Is This Course For? Web Developers who want to understand security tools. Cybersecurity Students who want to improve their coding skills. Beginners who have installed XAMPP/VS Code and want a real project. Tech Stack Frontend: React 18, Tailwind CSS, Lucide Icons. Backend: PHP (running on Apache/XAMPP). Database: MySQL (managed via phpMyAdmin). Tools: VS Code, Postman (for API testing).
A smart recycling ecosystem that gamifies sustainability. Users earn points for recycling plastic and metal at IoT-enabled kiosks, which can be redeemed for real-world reward
Ideal Charge is a next-generation EV charging station finder that bridges the gap between hardware sensors and mobile users. By integrating real-time ESP32 occupancy data with a high-fidelity Flutter interface, it provides drivers with unparalleled accuracy on charger availability. The app features a hybrid mapping system, turn-by-turn navigation deep-linking, and a robust semantic theming system that ensures accessibility and visual excellence.
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