SYED SHAH HUSSAIN BADSHAH@syedshahhussain

The PRC prototype democratizes space data access via an AI-driven platform. It empowers students, educators, and enthusiasts to explore, understand, and contribute to space science. Core goals include intuitive data access via natural language queries, engaging educational tools, and citizen science participation. The prototype features an AI data retrieval agent (using NLP and a REST API), an interactive educational dashboard (using React/Vue.js and D3.js/Chart.js), and a citizen science portal (with user management and task assignment). The 12-month plan involves R&D, dashboard development, portal creation, and user testing. Expected outcomes: increased accessibility, enhanced education, empowered citizen scientists, and a foundation for future development. The PRC aims to transform space data exploration, making it accessible to all.

We present a general biological research agent designed to accelerate discoveries in biology, medicine, and cancer research. Our agent combines a powerful Python-based backend with an intuitive chatbot front end, creating a seamless interface for researchers to interact with complex computational tools using natural language. This project demonstrates how artificial intelligence can streamline research processes, from literature mining to data analysis and hypothesis generation. By integrating advanced natural language processing models and machine learning algorithms, the agent assists researchers in navigating vast scientific literature and data. The platform can process large datasets, extract pertinent information, and provide context-aware responses to complex queries. The Python backend leverages robust computational libraries, ensuring efficient data handling and analysis, while the chatbot interface UI allows users to engage conversationally, lowering the barrier to entry for those without extensive technical expertise. One key feature is advanced literature mining; the agent performs comprehensive searches across databases like PubMed Central [1] and arXiv [2]. Utilizing natural language processing models, it extracts key findings, summarizes articles, and identifies emerging trends, helping researchers stay updated with the latest developments. Our general biological research agent represents a significant advancement in integrating artificial intelligence into biomedical research. We are excited about the possibilities this tool presents and look forward to refining it further, integrating new features, and collaborating with the research community to maximize its impact. [1] PubMed Central, https://www.ncbi.nlm.nih.gov/pmc/ [2] arXiv, https://arxiv.org/.

We designed four agents to automate the SDLC. These were: Requirements Agent: Understand requirements from requirements doc Design Agent: Create high level design doc Software Development Agent: Generate codebase to build PoC (small project) Code Test Agent: Generate code tests The workflow steps we followed were as follows: a. Requirements Gathering Task: Extract key requirements from a document. Goal: Create a concise summary of the CRM system's required features. Outcome: Defines the project scope (authentication, CRUD operations, task management, reporting). b. High-Level System Design Task: Design the architecture of the CRM system. Diagrams Generated: Use Case Diagram Class Diagram Entity-Relationship Diagram (ERD) UI Design for Dashboard Outcome: A document detailing the architecture, components, and visual diagrams of the system. c. Code Generation Task: Develop the Code for the system. Goal: Create functional code that implements core features. Outcome: Working code implementing authentication, database operations, and reporting. d. Code Testing Task: Run test cases to verify code functionality. Goal: Ensure the system meets the requirements and works as expected. Outcome: A detailed test report highlighting results and potential issues. Future Work could include: Improvements in Design Diagrams: Explore more AI-driven tools for automated generation of detailed design diagrams. Customization: Enable more advanced configurations for tasks such as adding new agents or expanding CRM functionality. Deployment: Plan for deployment of the final CRM system in a production environment. We also considered building an agentic workflow for MLOps, but ultimately decided on the SDLC.

Introducing RAGfier: An AI-powered communication tool that seamlessly translates sign language gestures into spoken language and vice versa, empowering sign language users to communicate effortlessly across various platforms. With text-to-sign language translation and real-time feedback, RAGfier revolutionises inclusivity, fostering accessible communication in healthcare, education, and daily interactions. RAGfier is an AI-powered communication tool that utilizes real-time sign language translation to bridge the gap between sign language users and the hearing world. - Real-time sign language translation: RAGfier converts sign language gestures into spoken language and vice versa, facilitating seamless communication between sign language users and hearing individuals. - Text-to-sign language translation: RAGfier can translate written text into sign language, making it easier for sign language users to access information and engage with digital content. - Sign language recognition and feedback: RAGfier provides feedback to sign language users, helping them improve their signing accuracy and fluency.

Using Vectara and Llamaindex we process tabular data using multiple models to get extremely accurate recommendations. Our solution can scrape product information from any e-commerce platform such as Amazon, Walmart, eBay, etc., and use RAG to incorporate customer-specific preferences to find out the best suitable products for price, features, ratings, etc. The solution facilitates the hybrid search mechanism i.e. keyword as well as semantic search capabilities. It also supports summarization for products e.g. concerning sales, trends, revenue, etc. The next steps are using a voice-enabled chatbot, and an alerting mechanism with product search across internet.

Wellness Nexus is a groundbreaking integrated healthcare application meticulously crafted to empower individuals in managing their health and fitness effectively. At its core, the app is designed to provide users with a holistic approach to wellness, combining advanced technologies and personalized assistance to cater to individual needs. The standout feature of Wellness Nexus is Nexus-Scan, leveraging cutting-edge computer vision models to analyze food images and provide users with an approximation of their calorie intake. This not only simplifies tracking dietary habits but also fosters mindful eating practices by offering real-time feedback. Moreover, Nexus-Sugar adds another layer of functionality by predicting the sugar content of various food items, enabling users to make informed dietary choices and manage their sugar intake more effectively. This feature is particularly valuable for individuals with specific dietary requirements or health conditions such as diabetes. Additionally, Wellness Nexus incorporates Nexus-Fit, a tool that utilizes user-provided parameters to determine the range of their ideal weight, thereby facilitating goal-setting and progress tracking within their fitness journey. By offering personalized insights and guidance, this feature encourages users to pursue their health goals with confidence and clarity. Furthermore, the app boasts Nexus-Bot, a friendly and intuitive virtual assistant designed to assist users in navigating the application and understanding its functionalities. Whether it's providing information about how the app works or offering tips for maximizing its benefits, Nexus-Bot serves as a reliable companion throughout the user's wellness journey. In essence, Wellness Nexus represents a paradigm shift in healthcare technology, bridging the gap between innovation and user-centric design to promote holistic well-being.

Introducing Quranic, an innovative AI-powered application designed to provide users with a comprehensive and precise understanding of the Holy Qur'an. Leveraging advanced technologies such as Aya-101 and Cohere Embed via Cohere API, Quranic offers unparalleled translation and transcription capabilities, ensuring an immersive and insightful exploration of the sacred text. At the heart of Quranic lies its cutting-edge AI engine, which meticulously indexes the entire Holy Qur'an, enabling users to access any verse with ease. Whether seeking guidance, inspiration, or scholarly insight, users can navigate through the vast repository of knowledge within the Qur'an effortlessly. One of the standout features of Quranic is its precise translation functionality. Through the integration of sophisticated language processing algorithms, the app delivers translations of Qur'anic verses with remarkable accuracy, capturing the nuances and subtleties of the original text. Users can choose from a variety of languages to explore the Qur'an in their preferred tongue, breaking down language barriers and fostering a deeper connection to the divine message. Moreover, Quranic offers transcription services powered by Aya-101, an advanced AI model trained specifically for Qur'anic text. This ensures that users can listen to and recite verses with utmost clarity and authenticity, enhancing their spiritual experience and aiding in memorization efforts. The Cohere Embed integration further enriches the Quranic experience by providing contextual understanding and cross-referencing capabilities. By tapping into Cohere's powerful semantic search capabilities, users can explore connections between different verses, themes, and concepts within the Qur'an, gaining deeper insights into its timeless wisdom. With Quranic, users can personalize their study sessions and tailor their exploration of the Qur'an to suit their preferences and learning objectives.

"WriteWise" is a groundbreaking project that brings together the cutting-edge technologies of DALL-E-2 and TruLens to revolutionize content creation and image manipulation. Leveraging the power of artificial intelligence and image processing, WriteWise empowers users to effortlessly transform textual descriptions into stunning visual representations. At its core, DALL-E-2, developed by OpenAI, stands as a pinnacle of natural language processing capabilities. By harnessing the immense potential of this advanced language model, WriteWise enables users to vividly describe their creative visions using natural language. Whether it's crafting intricate scenes, describing abstract concepts, or illustrating fantastical worlds, DALL-E-2 interprets textual input with unparalleled accuracy and generates lifelike images that bring ideas to life. Complementing DALL-E-2's prowess is TruLens, an innovative image processing tool designed to elevate visual content to new heights. With TruLens, users gain access to a suite of powerful features that empower them to enhance, refine, and manipulate images with precision and flexibility. From adjusting colors and lighting to applying artistic filters and effects, TruLens provides the tools needed to perfect every detail and realize the full potential of visual storytelling. Together, DALL-E-2 and TruLens form the backbone of WriteWise, offering users a seamless and intuitive platform to unleash their creativity. Whether you're an artist seeking to visualize your imagination, a marketer looking to craft compelling visuals, or a storyteller aiming to captivate your audience, WriteWise provides the tools and capabilities to transform ideas into captivating visual narratives. Join us on the forefront of innovation and explore the boundless possibilities of creative expression with WriteWise.

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.

⏱️ Build the next generation of Autonomous Agents in the heart of Europe’s AI Revolution. 📅 May 13 – 20, 2026 May 13 – 19: Online Build Phase. May 19: An exclusive on-site build day at Milan AI Week for selected participants. May 20: Awards Ceremony. 📍On-site Venue (May 19–20): Fiera Milano (Rho), Milan, Italy 🤝 Join solo or with a team. 🎟 FREE Milan AI Week conference ticket included for participants. 💰 $32,000+ prize pool 🧑‍💻 Apply now to turn your autonomous agent into a market-ready enterprise solution.

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.