Muhammad Hamza Hassaan@Hamza_Hassaan

Aslan AI relapse prevention in healthcare, particularly in mental health and addiction recovery. Many individuals struggle with emotional crises and lack accessible, immediate support during these vulnerable moments. To address this, Aslan offers an innovative AI-driven solution that provides real-time emotional support, helping users navigate challenging moments and prevent relapse. Aslan engages users in conversational, nonjudgmental interactions, dynamically adjusting its responses to validate emotions, identify underlying needs, and offer personalized interventions. The system is designed to help users express their emotions freely, offering them a safe space for self-reflection and growth. Aslan helps users develop a deeper understanding of their feelings and take actionable steps toward emotional well-being. Key functionalities include journaling prompts, mindfulness exercises, and value-driven decision-making tools that empower users to cope with stress and regain control during difficult times. The AI also features an adaptive response mechanism, which determines the best approach, whether to suggest an intervention first or help the user clarify their emotions and needs. A standout feature is the rant-friendly space, where users can vent freely, with built-in flagging mechanisms to detect concerning content based on varying threat levels (white, yellow, orange, red). This ensures that users in crisis are promptly directed to appropriate resources, such as crisis hotlines or clinical professionals. The primary target audience for Aslan includes individuals in recovery from addiction, those dealing with mental health issues, and anyone who needs ongoing emotional support. By offering real-time interventions and a supportive environment, Aslan reduces the risk of relapse and creates long-term emotional resilience.

The AI-Powered Medical Diagnostics Assistant is designed to bridge the healthcare gap in remote and underdeveloped regions by offering real-time, AI-driven diagnostic insights without relying on cloud infrastructure. This mobile application uses advanced AI/ML models to analyze multimodal data—such as X-rays, CT scans, and patient-reported symptoms via text or speech—to detect multiple diseases including diabetes, heart disease, and Parkinson’s. By operating on low-latency edge devices, the app ensures that healthcare providers in areas with poor internet connectivity can still access reliable diagnostic tools. The system also recommends follow-up tests and referrals, improving the quality and timeliness of medical care in underserved communities.

AI Accounting Assistant for Banking Beginners Our AI Accounting Assistant is designed to empower newcomers with a solid understanding of banking and financial terminologies. This intelligent assistant simplifies complex banking jargon, providing clear definitions, examples, and practical insights. Whether you're a student, professional, or someone new to banking, this tool offers interactive guidance, making financial literacy accessible and engaging. Key Features: Simple Definitions: Break down banking terms into easy-to-understand language. Interactive Learning: Quizzes and examples to reinforce understanding. Personalized Guidance: Tailored suggestions based on your queries and knowledge level. Resource Hub: Access articles, videos, and tutorials for deeper learning. This AI-powered solution bridges the gap between technical banking language and everyday understanding, helping you navigate the financial world confidently.

Gaia is an innovative web application designed to provide safety and support to women who find themselves alone in potentially risky situations. The app can chat using an AI to give the user the illusion of being in company, offering both emotional reassurance and a sense of security. In addition, Gaia can help users call emergency services instantly if they are in danger. The app also features a map that identifies the most dangerous areas based on real-time emergency call data, enabling users to avoid risky locations. This data-driven approach will also assist law enforcement in intelligently focusing their efforts on areas with higher safety concerns. We have worked just for London and we have got the data from their official website.

Many schools in remote and underserved regions experience high latency due to distant servers and limited bandwidth capacity, which disrupts digital learning. Our solution applies clustering algorithms (K-Means, DBSCAN) to 2.3 million school geolocations, pinpointing where data centers can most effectively serve 90% of educational content while minimizing latency. Leveraging open-source AI tools (Scikit-learn, Streamlit) and real-time connectivity data from Giga, our approach provides actionable insights for governments, NGOs, and internet service providers. In a user-friendly dashboard, stakeholders can visualize schools’ connectivity issues, compare bandwidth savings across regions, and analyze predicted performance boosts from new data centers. We plan to expand our model globally, ensuring accessible, high-quality internet connections for all schools—and ultimately bridging the educational digital divide.

This groundbreaking technology combines several cutting-edge features to provide reliable internet access and educational opportunities to underserved communities. • Self-Expanding Mesh Network: Utilizing AI-driven nodes, the mesh network adapts and grows organically to meet the community's needs. • Zero-Signal Communication: Even in areas with no mobile network coverage, Lace enables access to offline educational resources. When a user generates information or submits queries while offline, the system employs local storage to retain this data. As soon as the device reconnects to the network, it automatically begins uploading the stored data. When a device on the mesh network requires internet access, it can route its requests through other connected devices in the network that do have an internet connection. This peer-to-peer approach allows for the sharing of internet resources across the entire mesh • AI-Optimized Bandwidth: The system prioritizes learning-related data over unnecessary usage, maximizing connectivity for students and optimizing the available bandwidth. Affordable Internet via Local Hubs: Schools serve as community data centers, allowing students to download lectures and coursework efficiently. • Energy Efficient & Disaster-Resilient: The mesh network remains operational in remote or disaster-prone areas, providing uninterrupted access to resources. This comprehensive solution has the potential to revolutionize education in rural areas by making quality learning materials accessible to millions of students who currently lack internet access. By combining advanced AI algorithms, mesh networking, and zero-signal communication, Lace creates a robust and adaptable system that can overcome the challenges of connectivity in even the most remote locations.