Hi, I'm Mohamed Iheb Ben Dhaou

• Developed an iOS application using Swift and Core ML to analyze sound frequency responses, enabling early detection of hearing loss without specialized equipment.

• Integrated machine learning models for audio data processing and built a user-friendly interface with SwiftUI/UIKit, ensuring seamless user interaction.

• Delivered a functional prototype that successfully detected hearing issues, demonstrating the potential to improve accessibility to hearing health diagnostics.

• Developed a cross-platform mobile application using Swift (iOS) and Kotlin (Android) with MongoDB integration for seamless data management.

• Leveraged AR and AI technologies to enable plant identification, disease diagnosis, and personalized planting recommendations based on weather conditions.

• Integrated advanced features, including a chatbot for user support, real-time weather insights, and a community forum for user interaction and knowledge sharing.

• Designed and developed a comprehensive iOS app using Swift to teach financial literacy through interactive lessons.

• Budgeting tools, and gamification (e.g., quizzes, simulations, and rewards).

• Integrated features like expense tracking, savings goal calculators, and debt management tools to help users manage personal finances effectively and make informed decisions.

• Delivered a user-friendly platform with visualizations (charts/graphs) and community features (forums, expert advice) to enhance engagement and financial knowledge.

• Built a cross-platform Flutter app enabling alumni and students to connect, collaborate, and share projects with features like real-time chat, AI matchmaking, and event scheduling.

• Developed a responsive web platform with Next.js and Tailwind CSS, offering seamless access to profiles, discussions, and career opportunities with server-side rendering for better performance.

• Integrated an AI matchmaking system (Python + TensorFlow/PyTorch) to analyze user skills and interests, providing personalized recommendations that boosted engagement.

• Utilized Flutter to integrate AI-driven predictive analytics and data visualization, enhancing user engagement by 30% through actionable insights into rental trends and customer preferences.

• Developed an AI-powered damage detection system within a Flutter application, boosting vehicle condition assessment accuracy by 25% and reducing manual inspection time by 40%.

• Crafted an intuitive Flutter-based dashboard for efficient rental management, real-time availability tracking, and a responsive support chatbot that cut customer inquiry response time by 50%.

• Developed and deployed an AI-powered chatbot in native Arabic, increasing user interaction and support effectiveness by 40%.

• Designed interactive data visualization charts in Flutter, improving user comprehension of cement metrics by 35%, and implemented a reminder notification system that boosted user retention by 30%.

• Streamlined document management with a Flutter-integrated paper scanner, reducing manual entry time by 50%, and created an AI voice assistant that enhanced accessibility and customer satisfaction by 20%.

• Designed and developed a cross-platform app using Flutter to help students organize study schedules, track progress, and receive AI-generated study tips.

• Leveraged AI algorithms to suggest optimal study times based on user productivity patterns and integrated gamification features like streaks and rewards.

• Provided a clean, intuitive interface with calendar integration and push notifications to enhance user engagement

• Built a fitness tracking app using Kotlin (Android) and Swift (iOS) to offer personalized workout plans, calorie tracking, and step counting.

• Used Core ML to recommend workouts based on user goals.

• Delivered a visually appealing app with progress charts and social sharing features to motivate users.

• Created a navigation app using Flutter with AI-powered route optimization to ensure safe and efficient travel during emergencies or adverse weather conditions.

• Integrated real-time traffic updates and predictive analytics to suggest alternative routes and reduce travel time by 20%.

• Enhanced safety with voice alerts and hazard warnings, improving driver confidence.

• Built a web application using Next.js and Tailwind CSS to streamline event planning and attendee management.

• Integrated AI-driven seating arrangements and real-time RSVP tracking to optimize event logistics.

• Provided organizers with customizable templates and analytics dashboards to measure event success

• Designed a pet care app using Swift (iOS) to help pet owners track vaccinations, medications, and grooming schedules.

• Integrated AI to predict potential health issues based on breed-specific data and behavioral patterns.

• Added a section for pet owners to look for advice and connect with veterinarians.

• Created a travel planning app using Flutter to generate customized itineraries, locate nearby hotels, and provide local attraction recommendations.

• Integrated geolocation and Google Places API to display the top 10 nearby hotels, including their contact details and coordinates for easy navigation.

• Leveraged AI to analyze user preferences and suggest hotels and activities aligned with their interests.