Mahpara Siddique@mahpara

## Inspiration In emergency room triage, hospitals face two linked crises: securing critical ICU beds or surgical suites without double-booking, and verifying patient insurance co-pays or relief vouchers before admittance. AuraHealth OS unifies resource allocation and co-pay debits into ONE atomic execution — guaranteeing zero double-booking of beds and zero double-spending of wallet funds. ## How We Built It Built inside BAND AI Desktop (aurahealth-factory-room) under the tablekeeper track, our software factory operates with 3 autonomous remote agent seats (architect-agent, developer-agent, verifier-agent). All standing mandates are 100% generic, allowing the factory to autonomously plan, implement, and stress-verify code across 4 strict stages: 1. stage-1/: Baseline REST API server & data models for resources and user balance ledgers. 2. stage-2/: Mutex locks & Pessimistic Row-Locking ensuring zero double-booking and zero double-spending under high concurrency. 3. stage-3/: 5-minute temporary slot hold TTLs, timezone normalization, and idempotency key cache for network retry safety. 4. stage-4/: Production-hardened service verified by multi-threaded stress harnesses. ## Live Application & Netlify Deployment The frontend is an interactive dark-mode hospital telemetry dashboard built with HTML, CSS, and JavaScript, deployed live on Netlify (https://aurahealth-os.netlify.app). Nurses can reserve emergency beds and process patient co-pays simultaneously with real-time lock updates and audit ledger logging.

## Inspiration In surgical operating rooms (ORs) and sterile biosafety laboratories (BSL-3/4), medical professionals wear sterile gloves and heavy PPE. They cannot touch keyboards, mice, or touchscreens to query patient records, check drug-drug interactions, or log clinical vitals. Taking off gloves to type causes contamination risks and wastes critical time. We built BioVoice AI to provide a sterile, hands-free voice infrastructure for healthcare environments. ## How We Built It BioVoice AI combines Speechmatics Voice AI with Intel OpenVINO CPU optimization: 1. **Speechmatics Medical ASR**: Implements Speechmatics Custom Dictionary boosting for complex pharmaceutical drugs (Warfarin, Aspirin, Heparin) and protein targets (TP53, ERBB2). 2. **Intel OpenVINO Intent Classification**: Executes microsecond intent parsing and entity extraction locally on CPU. 3. **Clinical Decision & Vitals Engine**: Audits drug co-administration risks, queries UniProt gene targets, and logs voice-dictated patient vitals in real-time. ## Hackathon & Infrastructure Impact BioVoice AI solves sterile contamination in medical infrastructure. Running efficiently on standard CPU hardware with zero GPU requirements, it brings edge intelligence into surgical and laboratory workflows.

## Inspiration Biotechnology equities (CRSP, VRTX, MRNA) are highly volatile and move dramatically based on clinical trial endpoints, statistical p-values, target protein binding affinity (Ki), and toxicity reports. Traditional quantitative trading algorithms analyze only price-volume charts and are blind to scientific literature. BioTrader AI bridges computational biology and quantitative finance by turning scientific literature parsing into an alternative data source for trading agents. ## How We Built It BioTrader AI follows a modular Model Context Protocol (MCP) architecture: 1. **Bioinformatics MCP Tools**: Continuously monitors a target biotech watchlist, extracting statistical p-values, clinical trial primary endpoint status, and target protein binding metrics (Ki in nM). 2. **Autonomous Decision Engine**: Evaluates scientific sentiment. If a clinical trial achieves statistical significance (p < 0.01) with potent binding, the agent triggers a BUY order. If FDA safety holds or high adverse event toxicity (>15%) is detected, it executes a SELL order to protect equity. 3. **Alpaca Trading API SDK**: Connects to the Alpaca Paper Trading SDK to execute real-time buy/sell orders, track equity, cash balance, and margin buying power. 4. **Trade Rationale Generator**: Powered by Qwen-2.5-72B-Instruct, the agent generates a bio-quantitative rationale explaining the biological mechanism behind every trade. ## Impact & Efficiency BioTrader AI runs on 100% CPU hardware with zero GPU requirements, making automated quantitative bio-trading accessible.

In Pakistan and South Asia, consanguineous marriages account for 60% to 70% of total unions. This elevated rate of endogamy significantly increases the risk of severe autosomal recessive genetic conditions in offspring, including Beta-Thalassemia Major, Spinal Muscular Atrophy (SMA), Congenital Hearing Loss, and Cystic Fibrosis. Despite the high disease burden, pre-marital genetic counseling infrastructure remains critically scarce. SehatGene (صحت جین) is an AI-driven clinical decision-support and genetic risk screening platform specifically engineered for Pakistani populations. The platform combines kinship genetics with localized epidemiological data to calculate the Inbreeding Coefficient ( F F) alongside Bayesian carrier probabilities across five major ethnic cohorts (Punjabi, Pashtun, Sindhi, Balochi, and Muhajir). SehatGene categorizes child disease risk into actionable severity tiers and generates bilingual (Urdu and English) clinical counseling reports. Furthermore, it automatically routes families to the nearest regional diagnostic center (such as AFIP Rawalpindi or Aga Khan University Hospital) for pre-marital HPLC blood testing. Built to run entirely on lightweight CPU hardware with zero GPU dependencies, SehatGene democratizes access to life-saving genetic risk awareness and pre-marital diagnostic intervention.

Defender is a cutting-edge cybersecurity platform developed to provide real-time protection against cyber threats and malicious activities. The project leverages AI technology for malware detection, real-time network monitoring, and proactive system alerts. Users can upload PDF or text files, which are analyzed for potential malware threats using intelligent algorithms that detect key malicious keywords like viruses, ransomware, and phishing. The platform goes beyond static security measures by integrating a dynamic system that visualizes security data through interactive 3D charts. These charts display real-time changes in security layer values, with random layers updating every second. This constant change makes it incredibly difficult for cybercriminals to track or exploit vulnerabilities, providing a powerful defense mechanism against evolving threats. In addition to real-time malware analysis and dynamic visualizations, Defender also tracks connected devices and IP addresses to monitor any unauthorized access attempts. The system displays the local IP and MAC address of the user's device, alongside a list of connected IPs, offering comprehensive network visibility. Defender ensures that your system is always protected with continuously shifting security layers, making it adaptable to emerging cybercrimes. With its proactive approach, real-time data visualization, and constant system analysis, Defender is an essential tool for preventing cyberattacks, safeguarding personal data, and ensuring overall system integrity in the digital world.

It is an innovative web application tailored for students, aspiring programmers, and anyone eager to improve their understanding of Data Structures and Algorithms (DSA). This project aims to create an engaging and comprehensive learning experience by providing a plethora of resources at users' fingertips.Users can explore various DSA concepts, view illustrative images, and practice coding problems to enhance their understanding and problem-solving skills.With DSA Companion, users will not only learn the theoretical aspects of DSA but also gain practical skills that will be invaluable in coding interviews and real-world programming scenarios. Whether you're a beginner or looking to refine your skills, DSA Companion is your go-to resource for mastering Data Structures and Algorithms.

Our project aims to deliver personalized financial advice through a user-friendly, AI-driven platform. By harnessing the power of OpenAI's GPT-3.5 and Whisper models, users can submit audio queries, which are then transcribed, analyzed, and answered with accurate, concise financial recommendations. The platform simplifies complex financial advice by converting user queries into actionable insights. Additionally, Eleven Labs' advanced text-to-speech technology ensures that responses are delivered clearly and naturally, creating a seamless voice interaction experience. Our mission is to make financial guidance accessible, intuitive, and engaging for users of all backgrounds.

CropGuard is a cutting-edge AI-driven platform for enhanced crop management, focusing on disease detection and crop recommendation. By analyzing images of plants, CropGuard's model accurately identifies a wide range of diseases, from bacterial blight and rust to leaf mold and viral infections. It offers detailed information on each disease, including causes, prevention methods, and treatments, helping users effectively manage and mitigate crop issues. The platform also features an advanced crop recommendation system. Users input data like temperature, humidity, soil pH, water availability, and season, and the system suggests the most suitable crops for their conditions. This helps optimize yield and resource use by providing tailored crop suggestions based on environmental data. Additionally, CropGuard includes a conversational AI assistant that answers crop-related questions, offers advice on maintaining healthy crops, and provides guidance on agricultural practices. Designed to be user-friendly, CropGuard integrates seamlessly into farming workflows, offering actionable insights that drive better crop management decisions. Overall, CropGuard aims to improve agricultural productivity and sustainability with its innovative AI technology and practical features. Whether addressing crop diseases or selecting the best crops for your farm, CropGuard provides intelligent solutions for informed farming.

🌎 Hybrid Hackathon | 💻 Online Build: October 16–19, 2026 | 📍 On-site: October 19–20, 2026 The official hackathon of AI & Big Data Expo Europe, organized by TechEx Events and lablab.ai. Build AI applications and agents across AI, cybersecurity, cloud, IoT, automation, edge computing, digital transformation, and data infrastructure, then showcase your project live at one of Europe's largest enterprise technology events. 📍 On-site Venue (October 19–20): RAI Amsterdam Europaplein 24, 1078 GZ Amsterdam, Netherlands 📍 If approved for the on-site experience, you'll also have the opportunity to showcase your project live. Travel and accommodation will not be covered.

🌎 Hybrid Hackathon | 💻 Online Build: 12-17 October 2026 | On-site phase: 17-18 October 2026 To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. The AMD Developer Hackathon: ACT III is a hands-on event for developers, founders, engineers and builders who want to push what’s possible with AI on real infrastructure. 📍 If approved for the on-site experience, you'll also have the opportunity to showcase your project live. Travel and accommodation will not be covered.

🌎 Online Hackathon | 💻 Online Build: Sept 26 - Oct 5, 2026 A virtual, global hackathon. Build from anywhere in the world. Dark Factory is the official hackathon of WeAreDevelopers World Congress North America, presented by BAND, but you don't need to be in San Jose to take part. For one week, you build a software factory in BAND Desktop: a band of coding agents that plans work, implements it and checks its own results. 🎟️ Bonus for sign-ups: you are eligible for a free ticket to WeAreDevelopers World Congress North America in San Jose (Sep 23–25). If you do go, stop by the BAND booth: a surprise is waiting for you.