Hamna Nadeem@hamna_dev

PayFlow AI is an easy-to-use, intelligent platform that helps companies fix invoice and payment problems automatically. It uses advanced AI and connects deeply with your existing systems to understand what’s causing delays in the Accounts Payable process. The app compares invoice details to ERP data to quickly find issues, reaches out to vendors with clear AI-generated messages when information is missing or incorrect, and contacts internal teams to gather needed updates. By handling these steps on its own, PayFlow AI greatly increases the number of invoices that move through the system without human effort.

EzAid is dedicated to revolutionizing immigration and tax assistance by integrating advanced artificial intelligence solutions, simplifying complex procedures, and improving the overall client experience. This presentation will dive deep into the innovative ways EzAid streamlines these essential services, from automating paperwork to optimizing communication channels. We'll showcase how our AI-driven platform minimizes the workload for clients and professionals alike, making regulatory processes more accessible, efficient, and less daunting. Additionally, we will explore how our approach fosters greater accuracy and responsiveness, allowing users to navigate immigration and tax matters with confidence and ease. Through EzAid, we're not only addressing pressing challenges but also redefining what it means to receive personalized support in these pivotal areas.

advanced medical assistant application that utilizes Retrieval-Augmented Generation (RAG) with the Falcon Large Language Model (LLM) to provide accurate and context-aware medical information. Features Audio Interaction Endpoint Speech-to-Text (S2T) conversion LLM processing using Falcon Text-to-Speech (T2S) conversion for audible responses Text-based Interaction Endpoint Direct text input LLM processing using Falcon Text output Retrieval-Augmented Generation (RAG) Enhances responses with relevant medical knowledge Improves accuracy and context-awareness of the AI uses a Retrieval-Augmented Generation (RAG) architecture: User input (text or transcribed audio) is processed. Relevant medical information is retrieved from the Qdrant vector database. The Falcon LLM generates a response based on the user query and retrieved information. The response is returned as text or converted to speech.

The detailed idea is to develop an AI-powered virtual mental health coach designed specifically to support mental well-being. The app functions like a psychologist, providing personalized mental health advice, emotional support, and motivation. Integrated with Langflow, it can understand and respond to natural language queries related to mental health, offering mindfulness exercises and stress management techniques. Additionally, it tracks emotional progress over time, helping users identify patterns and triggers. This virtual coach can be marketed to therapy centers, mental health apps, and organizations focusing on employee wellness programs. The app's AI capabilities ensure a highly responsive and adaptive user experience, tailoring its interactions based on individual needs and preferences. By leveraging advanced algorithms, the virtual coach can provide evidence-based strategies for coping with anxiety, depression, and other mental health challenges. Its accessibility makes it a valuable tool for those who may not have easy access to traditional therapy. Furthermore, the app's data analytics features can offer insights into broader mental health trends, aiding organizations in developing targeted wellness initiatives. With its comprehensive approach, the AI-powered mental health coach aims to revolutionize mental health care by making support more accessible, personalized, and effective.

Leverage Orchestrate’s digital skills to design solutions that automate repetitive tasks, orchestrate workflows across tools, and empower employees to focus on high-value work. ⏳ Complete your project in just 48 hours and showcase your innovation. 🚀 Gain hands-on experience building with IBM watsonx Orchestrate. 💡 Develop practical AI agents that reshape the way teams and organizations operate. ⭐ Learn directly from experts who will support you throughout the event. 🤝 Team up or work independently to bring your vision to life. 💰 Prizes: $10,000 🧑🏻‍💻 Sign up before the Kick-Off Stream and start shaping the future with IBM watsonx Orchestrate!

Join the next edition of our flagship AI hackathon — now featuring Google, AppliedAI, and Qdrant as official partners, with over $45,500 in prizes and exclusive partner challenges. After an incredible launch earlier this year, we’re back with the next edition of our AI hackathon series leading up to the /function1 AI Conference & Exhibition in Dubai. Tap into the power of AI to innovate, build, and take your AI skills to the next level in this high-impact hybrid experience. 📅November 14–19, 2025 • Nov 14–18: Collaborate and build online with AI enthusiasts from around the world. All projects must be submitted by end of day on November 18 • Nov 18 (Dubai): An exclusive on-site build day at Festival Arena Dubai for selected participants. • Nov 19 (Dubai): Live on-stage pitching & winners announcement at the /function1 Conference. 🌟 Get support from expert mentors throughout. 👥 Go solo or team up. 📍 Please note: On-site participation is by invitation only. Travel and accommodation will not be covered for selected participants. Further details will be shared with those accepted. 🧑🏻‍💻 Secure your spot now—sign up before the Kick-Off Stream!

In this hybrid hackathon powered by Arc, developers will build the next generation of payment systems using AI + Arc with USDC. Explore a world where AI agents can understand natural language, automate financial actions, and move money with precision. From DeFi to digital content and real-world assets, this is your chance to shape the future of intelligent finance. 📅 October 27 – November 9, 2025 • Oct 27 – Nov 8 (Online Phase) – Collaborate and build with developers and AI innovators from around the world. All projects must be submitted by end of day on November 8. • Nov 8 (New York City – On-site Build Day) – Selected participants will be invited to an exclusive in-person session to refine their projects and connect directly. • Nov 9 (New York City – Live pitching & Awards) – Live pitching sessions to a panel of judges and investors, followed by the official winner announcement. 📍 On-site Venue (Nov 8–9): Babe Ruth Room, Jay Conference Chelsea 159 West 25th Street, New York City, USA 🧠 Get guidance from blockchain and AI experts throughout the event. 🤝 Go solo or team up — it's your flow. 🏆Compete for $10,000 in USDC prizes. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑🏻‍💻 Secure your spot now — sign up before the Kick-Off Stream!