http://hdl.handle.net/123456789/132 Sat, 14 Nov 2026 10:08:49 GMT 2026-11-14T10:08:49Z http://hdl.handle.net/123456789/21748 SMART AI-POWERED EXPENSE TRACKING SYSTEM 03-135222-015, Muneeb Javed The Smart AI-powered Expense Tracking System is a modernized personal financial management tool aimed at overcoming limitations associated with classical budget applications. The first main purpose of this innovative application is to get rid of problems connected with excessive reliance on human intervention and outdated ways of processing information. To this end, the Smart AI Expense Tracking System incorporates modern internet-based tools, rule-based financial calculations, and an LLM model of conversation with access to external APIs. The most distinctive characteristic of the proposed system is its artificial intelligence component. The AI-powered financial advisor makes it possible for people to communicate with the software using regular language. It means that any person can use natural language to find out more about his/her expenditure habits, saving practices, budgeting methods, and financial behaviors in general. Based on the provided context, the artificial intelligence processes all queries and provides answers to them. Geolocation features are integrated into the app's functionality to improve its ability to understand context from the point of view of user behavior. Through recognizing the presence of the user at certain places (such as retail shops, restaurants, or transportation points), it becomes possible to deduce the spending activities associated with being in these locations, which helps to ensure that expenses are logged promptly. Therefore, the need for manual data entry is significantly reduced and data accuracy increased. FastAPI serves as the foundation for the backend architecture of the application, ensuring excellent speed and performance capabilities of the server. All functions are performed by this framework, which includes user authentication, spending and budget tracking, requests related to AI algorithms and input validation. As for data storage, a light and effective SQL database named SQLite is used to store user data, including user profiles, budgets, and spending locations. In addition to that, the system is built with a significant focus on data visualization and UX. Data concerning finances of the users is provided by means of interactive dashboards, graphs, and chart representations, which make it easier for the users to get insights into their spending. Thus, this system makes visualizations out of complicated data in order to help users analyze their spending patterns. Mr. Tahir Iqbal Mon, 01 Jun 2026 00:00:00 GMT http://hdl.handle.net/123456789/21748 2026-06-01T00:00:00Z http://hdl.handle.net/123456789/21749 ReMind 03-135222-034, M. Taha Munir The rise of mental health issues among university students and young professionals may stem from academic stress, social isolation, and access to low-cost counselling, which have created greater stress, anxiety and depression symptoms. While there are digital wellness tools available, many are not clinically grounded, have limited capabilities, or require a subscription to increase accessibility for those who could benefit most. This thesis presents the design, development, and testing of ReMind, a cross-platform mobile application built using Flutter and Firebase. The app offers a research-backed approach to stress management and emotional awareness through features such as an emoji-based mood tracker, the clinically validated DASS-21 assessment, guided breathing exercises, the 5-4-3-2-1 grounding technique, interactive mini-games, and a CBT-based resilience training module. It also includes journaling, gratitude practice, an AI chatbot for emotional support with a multi-provider fallback system, and a dashboard for tracking mood and assessment progress. All features were developed with guidance from a certified clinical psychologist to ensure clinical appropriateness. There are three authentication methods mainly, email and password, Google Sign-In and anonymous access with the option to also migrate to the cloud for user privacy. The quality assurance process was conducted over a set of approximately 100 test cases, with a 100% success rate in these cases, ensuring the reliability and functional correctness of the system. This project helps meet UN Sustainable Development Goal 3(Good Health and Well-being) through providing a free, self-guided, mental health support tool. Dr Junaid Nasir Mon, 01 Jun 2026 00:00:00 GMT http://hdl.handle.net/123456789/21749 2026-06-01T00:00:00Z http://hdl.handle.net/123456789/21747 AI-Powered Autonomous Travel Concierge: Wandermind 03-135222-038, Muhammad Zaeem Zafar This document presents WanderMind, an AI-powered autonomous travel planning and booking system designed to deliver personalized, optimized, and dynamic travel experiences. The platform integrates a multi-agent architecture combining both Node.js and Python-based services, where the backend orchestrates communication between the frontend and specialized AI agents. These agents including Planner, Explorer, Negotiator, and Booking modules collaborate to generate structured itineraries, recommend attractions, optimize travel costs, and provide booking insights. The system leverages Large Language Models (LLMs) via API to generate context-aware travel plans enriched with time-based schedules, activity categorization, transportation guidance, and user-centric recommendations. To enhance decision-making, a negotiation engine analyzes the generated itinerary and suggests cost-saving alternatives, improving affordability without compromising the quality of the experience. Additionally, the booking module aggregates flight and hotel options from multiple providers, presenting users with actionable links and estimated price ranges. The frontend, developed with modern UI frameworks, presents the output in a structured, interactive format to ensure usability and engagement. WanderMind demonstrates a scalable and resilient AI-driven travel ecosystem that combines automation, personalization, and real-time adaptability, offering users a comprehensive solution for trip planning, optimization, and booking assistance. Mr. Tahir Iqbal Mon, 01 Jun 2026 00:00:00 GMT http://hdl.handle.net/123456789/21747 2026-06-01T00:00:00Z http://hdl.handle.net/123456789/21750 Daakea 03-135222-032, HASAAN ABDULLAH The growing demand for faster and more flexible delivery services has highlighted significant limitations in traditional logistics systems, which rely on fixed routes, centralized operations, and limited user interaction. These systems do not efficiently utilize available travel resources and often lack an integrated platform for job posting, communication, and transaction management. As a result, users experience delays, poor coordination, and limited transparency. This creates a need for a modern, user-driven solution that supports real-time interaction and optimizes delivery processes using available resources. To address these challenges, this project presents DAAKEA, a peer-to-peer delivery marketplace application that connects senders with travelers already moving along similar routes. The system operates as a role-based platform where users register, select their role (Sender or Traveler), and access role-specific dashboards. Senders can post delivery jobs with relevant details, while travelers can browse jobs, apply filters, and submit bids. Once a bid is accepted, both parties can coordinate through a real-time chat system. The application is developed using Flutter for cross-platform support and integrated with Firebase services, including Authentication, Cloud Firestore, Cloud Messaging, and Cloud Functions, to ensure real-time data synchronization and communication. The implemented system supports a complete delivery workflow, including job posting, bidding, notifications, chat, and transaction tracking, along with an admin dashboard for system management. Overall, DAAKEA provides a scalable and practical solution that improves coordination, utilizes travel resources efficiently, and enables travelers to earn income while delivering parcels. Miss. Summaira Nosheen. Mon, 01 Jun 2026 00:00:00 GMT http://hdl.handle.net/123456789/21750 2026-06-01T00:00:00Z