Eesha Tariq@eesha_tariq899

Security teams managing large facilities face a real problem. When you have hundreds or even thousands of cameras, it is impossible for a small team to monitor all of them at once. Most camera management software just shows you a wall of feeds and leaves the prioritization entirely up to the human operator. CamSort solves this by introducing an autonomous AI agent that continuously analyzes camera snapshots and ranks them based on what the operator actually cares about at that moment. The operator types a natural language instruction such as "sort by how hazardous the scene appears" or "find cameras with people present" and CamSort takes it from there. The system sends each camera snapshot independently to Google Gemini, which returns a score, a classification, a reason, and a recommended action for each feed. The backend then sorts all cameras by score and updates the dashboard automatically every few seconds without any manual input. CamSort also includes an operator priority layer that flags any camera crossing a critical threshold, making sure urgent situations are never buried under lower priority feeds. The live dashboard shows ranked camera cards with scores, reasons, and operator actions so the team always knows exactly where to look first. The project is built on Vultr, uses Google Gemini for multimodal image analysis, and is deployed with a live demo accessible to judges.

QuantTrader Lite is a fully autonomous AI-powered crypto trading agent designed to solve three core problems in modern trading: information overload, lack of trust in AI decisions, and slow human reaction time. Built for the Lablab.ai Hackathon 2026 (Kraken CLI Track), the system continuously fetches live market data, analyzes it using Groq AI (Llama 3), and executes paper trades via Kraken CLI—all without human intervention. 🧠 How It Works The system follows a 5-step autonomous pipeline: Market Data Ingestion Fetches real-time BTC price and 24h change from CoinGecko API. AI Decision Engine Groq-powered Llama 3 analyzes market trends and generates a BUY / SELL / HOLD signal along with a clear, human-readable explanation. Trade Execution The decision is executed using Kraken CLI in sandbox mode (paper trading). Logging & Transparency Every action is recorded in a structured trade_log.json file for auditability. Live Dashboard A Streamlit interface displays signals, trade history, and charts with auto-refresh every 60 seconds. 💡 What Makes It Different Explainable AI Every decision includes a clear reason—no black-box trading. Fully Autonomous Runs continuously with zero human input. Hackathon-Compliant Direct integration with Kraken CLI ensures full alignment with challenge requirements. Simple but Powerful Built entirely in Python with a lightweight, production-ready architecture. 🛠 Tech Stack Groq API (Llama 3) → AI decision-making Kraken CLI → Trade execution (sandbox) CoinGecko API → Live market data Streamlit → Real-time dashboard Python 3.11+ → Core system 🎯 Impact QuantTrader Lite transforms crypto trading from manual, overwhelming, and opaque into a system that is: ⚡ Fast 🔍 Transparent 🤖 Autonomous It not only trades—but also teaches users why each decision is made, bridging the gap between AI and human trust.

FinWhisper is an advanced AI-driven financial workflow error detection and automation system designed to help organizations eliminate hidden inefficiencies, prevent manual mistakes, and improve decision accuracy. By integrating intelligent anomaly detection, rule-based validation, and automated workflow monitoring, FinWhisper continuously scans financial processes—such as invoice approvals, expense management, payments, reconciliations, and reporting—to identify issues early. It highlights unusual patterns, missing documentation, duplicate entries, incorrect calculations, and policy violations before they reach critical stages. Built with enterprise-grade AI models and IBM watsonx Orchestrate, FinWhisper enables finance teams to: Reduce operational risk and financial loss Automate repetitive checks and approvals Maintain compliance and internal controls Improve transparency and audit readiness Accelerate month-end closing and reporting FinWhisper transforms traditional financial workflows into smart, error-resistant, and highly reliable systems—empowering teams to focus on insights, not manual fixes.

LinkAura is an AI-powered LinkedIn strategist designed to transform how professionals grow their personal brand. Built on Coral Registry, it leverages intelligent agents to automate content ideation, provide real-time engagement insights, and suggest data-driven growth strategies tailored to each user. By integrating Coral’s scalable architecture, LinkAura ensures seamless orchestration of custom tools and sessions that adapt to individual goals. From boosting post reach to identifying the right networking opportunities, LinkAura empowers professionals to consistently elevate their LinkedIn presence. Our vision is to redefine career branding with Coral-powered automation that’s intelligent, personalized, and future-ready

Agentica is a next-generation AI multi-agent orchestration platform designed to revolutionize how businesses and individuals interact with technology. Unlike single-purpose chatbots, Agentica deploys specialized AI agents—each with unique memory, roles, and goals—that collaborate autonomously like a virtual remote team. From fraud detection and phishing protection to customer support, workflow automation, and real-time communication, Agentica transforms complex processes into seamless, intelligent operations. Its modular design allows integration with APIs, AI models, and enterprise tools, making it scalable across industries such as healthcare, finance, and education. With Agentica, organizations gain efficiency, security, and innovation, unlocking the full potential of agentic AI to reshape the future of digital collaboration.

VHeal AI is an Agentic AI-powered hospital discharge copilot designed to streamline patient discharges by autonomously coordinating between hospital staff, systems, and workflows. In modern hospitals, discharging a patient is a multi-step, often delayed process involving doctors, nurses, transport, billing, and pharmacy. VHeal AI detects discharge triggers, reasons through medical workflows, completes checklists, and notifies stakeholders through messaging APIs like WhatsApp and SMS. It also generates discharge summaries using LLMs such as GPT-4o and Claude 3. The project uses a LangChain-based agentic framework, integrated with FastAPI, Streamlit/React, and real-time dashboards for staff. VHeal AI mimics a real hospital staff member, offering timely, autonomous, and safe discharge experiences—helping hospitals save beds, time, and lives.

ReplyMate AI leverages advanced Natural Language Processing (NLP) and machine learning to offer users secure and intelligent conversations. It helps identify potential fraud attempts, ensuring a safer messaging experience on WhatsApp. Built for businesses and individuals, ReplyMate is the go-to tool for fraud prevention and efficient chat automation." Fraud Detection: Identifies suspicious activity and alerts users to potential phishing or scam messages. Smart Replies: Provides contextually relevant and accurate responses to improve user engagement. Real-Time Alerts: Instantly notifies users of fraudulent activities or scams. Security Focused: Ensures that sensitive user data is never compromised during interactions. WhatsApp Integration: Seamlessly integrates with WhatsApp for easy communication and use. Error Handling: Identifies and manages errors gracefully, ensuring the chatbot remains effective even in complex conversations.

GraniteFit is a cutting-edge AI-powered platform that revolutionizes health tracking and workplace automation using IBM’s Granite AI. It integrates advanced AI-driven analytics, natural language processing (NLP), and predictive modeling to enhance productivity and well-being. Designed to cater to both corporate professionals and healthcare providers, GraniteFit offers a seamless experience by automating reminders, scheduling tasks, and improving personal and workplace efficiency. This AI-driven assistant not only simplifies daily tasks but also ensures a healthier lifestyle by sending personalized reminders for medication, hydration, physical activity, and work-related tasks. The system can intelligently analyze user behavior, predict needs, and provide real-time insights to optimize workflow and personal health. Leveraging IBM Granite AI, it ensures a highly scalable, secure, and adaptive AI model that evolves based on user interactions.

Overview HireGenius AI is an AI-powered job application assistant that automates job scraping, resume matching, and email generation. It is designed to streamline the hiring process for recruitment teams in leading companies like Infosys, TCS, and Accenture, helping them attract top engineering talent from industry leaders such as Google, Microsoft, and Amazon. Features ✨ Job Posting Scraper 📌: Extracts job descriptions from various job portals. Resume Matching 📊: Uses AI to analyze and compare resumes with job requirements. Automated Email Generation ✉️: Generates professional application emails tailored to job postings. Visualization 📈: Provides insights on job-resume match percentage with graphical representation. Open Source & Extensible 🛠: Fully customizable and open for contributions.

⏱️ 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.

⏱️ Design, build, and deploy trustless AI trading agents. 📅 March 30 – April 12, 2026 🌐 Build AI trading agents that execute strategies using ERC-8004 or Kraken CLI. 🤝 Build solo or in teams to create autonomous trading, risk, yield, or protection agents. 💰 $55,000 prize pool, allocated and shared via Surge and Kraken. Your team should have registered project at early.surge.xyz in order to be eligible for the prize. Get access in your team profile or our discord 🔑 Access to early.surge.xyz If prompted for login credentials, use: • Username: admin • Password: JBRv2xWG7AzwVrLz88