The project focuses on improving child and maternal health in remote areas of Balochistan by promoting early detection and timely screening to reduce malnutrition and preventable deaths. Pakistan’s high child stunting rates highlight the urgent need for better healthcare coverage. A voice-based AI application is proposed to support prenatal care, guide health protocols, and assist local workers, especially in low-literacy settings. The initiative aligns with SDG 3 (health) and women’s empowerment goals. Key challenges include local language processing, limited connectivity, ethical data use, and sustainability, addressed through offline functionality, model adaptation, user-centred design, and stakeholder partnerships.

The project aimed to evaluate the feasibility of integrating Geographic Information Systems (GIS) into the existing taxation framework to modernise and streamline property tax collection in urban areas. It digitised property records and developed spatial databases to support accurate mapping, assessment, and monitoring of immovable properties, thereby enhancing transparency, operational efficiency, and revenue generation. The system was designed to automate tax calculations based on geospatial attributes such as location, size, and land use, while also identifying unregistered or under-assessed properties. The study supported the Excise, Taxation & Anti-Narcotics Department in establishing a data-driven infrastructure that improved urban governance, minimised manual errors, and enabled informed decision-making for property management and enforcement.

The project focused on bridging the digital divide by providing reliable internet access to schools in remote and underserved rural areas. Its goal was to empower students and educators through connectivity, enabling access to digital learning resources, online education platforms, and communication tools that were essential for modern education.