Ali Farooq
App Developer building cross-platform apps using Flutter.
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Ali is ready for their next project!
BookaBite is a dual-mode mobile application designed to streamline the restaurant booking experience for both customers and restaurant owners. The app features two dedicated interfaces: a consumer mode for users and a restaurant mode for business owners, enabling efficient interaction between both sides of the platform.
For users, the application solves a common real-world problem — long waiting times at busy restaurants. Through BookaBite, customers can browse restaurants and reserve tables in advance, ensuring a smooth and hassle-free dining experience without the need to wait in queues.
On the business side, restaurants can manage table availability, handle bookings, and optimize seating operations more effectively.
A key highlight of the project is the integration of an AI-powered chatbot, designed to enhance user experience by assisting with table bookings, answering queries, and providing real-time support. This intelligent assistant allows users to interact conversationally within the app to make reservations or get booking-related information.
The application was built with a focus on responsive UI, clean architecture, and seamless database integration, ensuring reliable performance and scalability.
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CashLink – Peer-to-Peer Cash Exchange Platform
CashLink is an innovative fintech mobile application designed for the Pakistani market, aimed at eliminating middleman fees in digital wallet transactions such as Easypaisa and JazzCash.
The platform connects users based on their real-time physical location, enabling them to directly exchange cash and digital balance without involving agents or shops. For example, a user who wants to withdraw money from their wallet can connect with another nearby user who wants to deposit money—allowing both parties to complete the transaction without paying extra service charges.
A strong emphasis was placed on security and cost-efficiency. The app implements a robust KYC (Know Your Customer) system, including live video-based identity verification. To make the system scalable and affordable, we developed and integrated local Python-based AI models for facial recognition, avoiding expensive third-party verification services while maintaining high security standards. User identity is re-validated before each transaction to ensure safe and trustworthy exchanges.
Key Highlights:
• Peer-to-peer cash exchange using real-time location matching
• Eliminates transaction fees by removing middlemen
• Advanced KYC with live video and AI-based facial recognition
• Custom Python AI models for cost-effective and secure verification
• Re-verification before each transaction for enhanced security
• Built specifically for Easypaisa & JazzCash ecosystem
This project highlights my ability to design and develop secure, scalable, and cost-optimized fintech solutions tailored to real-world problems.
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Feasto – Food Ordering Mobile App (Frontend Development)
Feasto is a modern food ordering mobile application inspired by platforms like Foodpanda, designed to provide users with a seamless and intuitive ordering experience. In this project, I was responsible for developing the complete frontend using Flutter.
The app allows users to browse restaurants, explore menus, add items to their cart, and place orders through a smooth and responsive interface. The focus was on delivering a clean UI, fast performance, and an engaging user experience.
Key Highlights:
• Developed full frontend using Flutter
• User-friendly UI for browsing restaurants and menus
• Cart functionality with dynamic updates
• Smooth navigation and responsive design
• Clean and maintainable code structure
This project showcases my ability to build high-quality, scalable, and visually appealing mobile app interfaces.
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CryptoFuture 2024 – AI Cryptocurrency Prediction App
CryptoFuture is a smart mobile application built using Flutter that leverages artificial intelligence to predict cryptocurrency trends. The app integrates a TensorFlow-based LSTM model through a Flask API to deliver real-time predictions and insights.
The project follows a structured MVVM architecture, ensuring scalability, maintainability, and faster development cycles. Clean coding principles and asynchronous programming were implemented to optimize performance and provide a smooth user experience.
Key Highlights:
• AI-powered crypto price prediction using LSTM model
• Seamless integration of Flutter frontend with Flask backend
• Scalable and maintainable MVVM architecture
• Optimized performance with async operations
GitHub Repository: https://github.com/AliFarooqq/cryptopredict.git
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