Saira Ishaq@SairaIshaq

Purpose: Streamline research workflows by centralizing document management, search capabilities, and AI assistance in one secure platform. How It Works: 1. Users create accounts and authenticate via a landing page 2. After login, access a dashboard with sidebar navigation 3. Upload research papers and documents for organization 4. Search Papers to find specific information within uploaded documents 5. External Search to query academic databases and sources 6. Ask AI to get AI powered assistance with research questions, literature reviews, and insights 7. All features are protected by authentication and organized in a clean React interface with Tailwind CSS styling The platform integrates AI to help users discover, analyse, and understand research materials faster than manual methods.

The Ultra-Advanced 🛰️ AI Satellite Internet Agent Network Monitoring Dashboard is a next-generation command and control system designed to oversee and optimize global satellite-based internet infrastructure. At its core, the dashboard integrates AI-driven satellite agents that operate collaboratively as a swarm to ensure uninterrupted coverage, intelligent traffic routing, and predictive problem-solving. The system provides operators with an immersive 3D orbital map of active satellites, real-time performance analytics (latency, bandwidth, packet loss), and AI-predicted demand forecasts across regions. Advanced security and reliability are built-in: the dashboard continuously monitors for signal interference, cyber intrusions, and space weather disruptions, while employing quantum-safe cryptography to secure inter-satellite communications. Autonomous optimization modules dynamically adjust frequency, power, and routing to reduce latency and mitigate congestion. With its digital twin simulation engine, the system can model future states of the constellation under various scenarios, enabling proactive decision-making. A sleek, VR-ready holographic interface with natural language queries and customizable dashboards makes it equally intuitive for engineers, analysts, and executives.

VoltAIon is an AI-driven initiative that merges materials science, sustainability, and advanced machine learning to revolutionize battery technology. Using GPT-5 and predictive modeling, we explore and design MOF-based and next-generation materials with superior charging, discharging, and energy storage performance. Our platform accelerates discovery by mining literature, predicting structure–property relationships, and generating innovative electrode designs. Beyond material design, VoltAIon focuses on sustainable recycling of lead-acid and lithium-ion batteries, identifying eco-friendly methods to recover valuable components and minimize waste. By uniting AI creativity and green engineering, VoltAIon envisions a future of smarter, cleaner, and more sustainable energy storage.

Theft Detection & Live Location Surveillance AI is a smart security solution designed to prevent theft and monitor assets in real time using artificial intelligence and IoT technologies. The system integrates computer vision models (such as YOLO or OpenCV-based motion detection) to analyze live video feeds for suspicious or unauthorized activities. Upon detecting potential theft or forced access, the system instantly sends smart alerts to the user via app notifications or SMS. In parallel, the project employs GPS-based live tracking using microcontrollers like Raspberry Pi or Arduino with GPS modules to monitor the exact location of the object or person in motion. The combination of AI-powered detection and real-time location surveillance ensures that stolen items or intruders can be identified and tracked instantly. All events are time-stamped and logged, enabling forensic tracking, auditing, or legal evidence. This project is ideal for securing homes, vehicles, delivery systems, and remote infrastructure. The solution is scalable, cost-effective, and easy to deploy with minimal hardware and cloud integration.

AGRO-SCAN is a smart agriculture solution designed to empower farmers through the use of AI, machine learning, and computer vision. Our project aims to address critical challenges in agriculture such as early crop disease detection, soil condition analysis, and timely advisory for improved crop yield. The system allows users (farmers or agri-experts) to upload images of their plants or soil. Using a pre-trained deep learning model, AGRO-SCAN identifies plant diseases or classifies soil health based on texture and visual indicators. Upon detection, the platform provides tailored recommendations, including treatment steps, preventive actions, and optimal farming practices. Key Features: 🌿 Plant Disease Detection via Image Upload 🌱 Soil Health Classification using Computer Vision 📊 Real-time Analytics Dashboard 📍 Multilingual Support for Local Farmers 📱 Mobile-Friendly Interface for Field Use With AGRO-SCAN, we aim to reduce crop loss, support sustainable farming, and empower farmers with AI-driven insights—all in an easy-to-use digital platform.

This Flutter-based project is an AI-powered Voice Emotion Detection system that classifies human emotions from voice inputs using deep learning. Users can upload or record audio through an integrated Gradio web interface. The app extracts Mel-Frequency Cepstral Coefficients (MFCCs) using the librosa library to capture key features of the voice signal. These features are processed by a pre-trained Multilayer Perceptron (MLP) model built with TensorFlow/Keras, which identifies emotions like happy, sad, angry, and neutral. The predicted emotion is displayed in real-time within the Flutter UI. This app can be used in virtual assistants, customer support, mental health tracking, and interactive systems.

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!