Eman Mirza@eman_01294

EchoMind is a voice-first AI personal memory agent designed to help people remember the context behind everyday conversations. Instead of manually writing notes, users can speak naturally about people, tasks, plans, events, and important details. EchoMind uses AssemblyAI’s realtime Voice Agent technology for live voice interaction, then passes the conversation into an AI layer that extracts structured information and relationships. Those memories are stored in Neon PostgreSQL and represented as a Personal Memory Graph. Users can retrieve memories, search connected context, complete tasks, and forget information. EchoMind also resolves relative time such as “tomorrow” or “in 2 hours” into absolute dates so relevant memories can be considered for proactive suggestions. The result is a voice-first memory system that listens, understands, remembers, connects, and brings context back when it becomes useful.

Modern software developers operate in high-velocity environments where shipping fast often takes precedence over rigorous manual security audits. This creates two critical attack surfaces: 1. Vulnerable Source Code: Developers frequently introduce critical OWASP vulnerabilities, such as SQL Injection (CWE-89), insecure cryptography (CWE-327), and path traversal into production code. 2. Malicious Repositories & Supply Chain Attacks: Threat actors target developers through fake recruitment assessments on GitHub. Candidates clone untrusted repositories and run "npm install", inadvertently triggering malicious lifecycle hooks (preinstall/postinstall) that fetch remote loaders and execute arbitrary code to compromise developer workstations and steal credentials. Sentinel Sandbox solves both challenges through a dual-engine architecture: - Static Code Auditor & Auto-Patcher: Analyzes source code, provides structured vulnerability explanations with exact line numbers and CWE tags, and automatically generates production-ready, secure refactored code. - Supply Chain & Pre-Install Inspector: Inspects repository configurations, package.json files, and installation scripts before execution, flagging hidden network loaders and suspicious lifecycle hooks to safeguard the developer's local environment. By addressing vulnerabilities at the source and safeguarding the developer workflow, Sentinel Sandbox transforms code security into a proactive, automated guardian.

AlphaPilot AI is an end-to-end automated options paper-trading platform built to deliver transparent, rule-backed execution with institutional capital discipline. The core engine continuously monitors SPY using a multi-factor technical matrix—combining SMA20, SMA50, RSI, MACD, and volume telemetry—to generate deterministic BUY or NO-TRADE signals paired with a real-time confidence score. Upon issuing a validated BUY signal, the platform’s algorithmic contract scanner searches, filters, and ranks option chains based on Days to Expiration (DTE), strike proximity, open interest, and liquidity metrics. Before any order is routed, the Entry Manager enforces strict safety controls, including technical confidence verification, active position collision checks, duplicate order protection, option quote validation, and strict portfolio risk limits. Once a paper position is active, the Position Monitor continuously tracks real-time price action, unrealized P&L, Stop Loss, and Take Profit thresholds. The engine automatically triggers paper exits when pre-established risk limits are met. All executed trades are permanently logged to a CSV audit ledger and analyzed through a comprehensive Performance Intelligence module to calculate win rates, risk metrics, and cumulative P&L. AlphaPilot AI is strictly configured for paper trading via the Alpaca API, allowing the entire algorithmic trading workflow to be thoroughly evaluated in real-time market conditions with zero capital risk.

Most security training relies on dull videos and quizzes that people easily forget. Breach Academy changes this by placing users straight into realistic security scenarios they might see on any given day. Rather than reading about scams, users actively interact with six different threat types. They inspect suspicious password reset emails, handle fake IT support phone calls asking for verification codes, navigate fake student login portals, spot package delivery text scams, identify deepfake emergency voice calls, and recognize fake prize messages on social media. The platform gives immediate feedback on every choice. If a user clicks a risky link or shares sensitive details, Breach Academy shows exactly what went wrong, highlights the red flags they missed, and offers quick tips to avoid the same mistake next time. Every action is scored with experience points, and a simple dashboard lets users track their progress, view past attempt scores, and build stronger security habits over time.

US consumers lose an estimated $64B a year to hidden fees and drip pricing. In May 2025 the FTC's Junk Fees Rule (16 CFR Part 464) made undisclosed mandatory fees illegal with penalties up to $51,744 per violation. Enforcement is landing now (Greystar $23M, Invitation Homes $48M). But there's a bottleneck: the same listing can cost a London shopper more than a New York shopper at the exact same moment and nobody can prove it at scale. Regulators and class-action firms need timestamped, tamper-proof evidence. FairPrice Watchdog is the picks-and-shovels for that evidence. A swarm of six specialized agents takes a single URL and produces a fileable complaint: a Crawler geo-loads the listing, a Journey Simulator walks the checkout (stopping before payment), a Diff agent extracts every fee, a Law-Mapper assigns the exact FTC clause with a detectability tier, and a Filing agent seals a court-ready PDF. Our key innovation: when prices are rendered in JavaScript (invisible to raw scraping), the agent captures a fully-rendered screenshot via Bright Data's Browser API and a GPT-4o vision model (AIMLAPI) reads the price straight off the image like a human. Every fetch has a hard deadline and a graceful fallback, so it never hangs; every result is honestly labeled live/partial/mock; every capture is SHA-256 sealed. Live, we captured a real hotel at $137 for a UK shopper vs $117 for a US shopper same room, same dates with both screenshots sealed and a PDF complaint generated. Built on the full Bright Data stack (Web Unlocker, Residential state-level geo, Browser API, SERP) plus AIMLAPI for vision and reasoning. Coverage spans 29 jurisdictions US (FTC §464), UK (DMCCA), and all 27 EU states (UCPD). Deployed live with auto-HTTPS and self-healing services.

Enterprise agent development on IBM watsonx Orchestrate is broken. Developers spend hours writing Python tool functions by hand, crafting ADK YAML from scratch, wiring MCP server connections manually, and debugging deployment errors — before they even touch the actual business logic. Most teams simply do not have time for this overhead. AgentForge solves this with a single sentence. You type: "Agent that pulls invoices from Gmail and posts them to SAP" — and AgentForge, powered entirely by IBM Bob, builds and deploys a fully working agent in roughly 90 seconds. Bob handles the complete pipeline automatically. First, it parses your intent and generates a structured agent spec. Then it writes all Python tool functions with correct type annotations and docstrings for Orchestrate compatibility. Next it generates the full ADK YAML configuration, validated against the Orchestrate schema. Then it configures all required MCP server connections based on what the tools need. Before deployment, Bob runs a dry-run test suite, catches any errors, self-corrects, and re-tests. Finally, the agent is deployed live into your watsonx Orchestrate chat environment — ready to use. No manual YAML. No hand-written tools. No debugging at midnight. IBM Bob is not a helper in this project — Bob is the core engine. All six Bob modes are used naturally across the pipeline: reasoning through intent, generating repository-aware code, producing valid configuration, inferring dependencies, self-correcting on test failures, and executing multi-step deployment. The full Bob session export shows every task and decision point, providing a complete audit trail for judges. The business value is real: a process that took expert developers six to eight hours now takes 90 seconds — and becomes accessible to anyone, not just those who have memorized ADK schemas. AgentForge is the natural language layer that enterprise agent development has been missing.

OlympicMind is an autonomous AI agent built to solve real-time navigation and crowd management challenges during the Milan 2026 Winter Olympics. During major sporting events, millions of visitors face dangerous crowd surges, road closures, and venue confusion: traditional GPS apps don't account for event schedules or live crowd density. OlympicMind bridges that gap. The system monitors 14 Olympic venues across Milan, Cortina, Bormio, and Livigno using TomTom Traffic Flow API, calculates a 0-100 Risk Score per venue by combining live crowd data with the Olympic event schedule, and delivers intelligent route recommendations through a conversational Gemini 2.5 Flash AI agent. Key Features: - AI Chat Agent powered by Gemini 2.5 Flash with full crowd + schedule context - Real-time crowd monitoring at 14 Olympic venues via TomTom Traffic API - Smart route planning with BLOCKED/CONGESTED detection - Risk Score system combining live traffic + event schedule urgency - Automatic WhatsApp alerts via N8N webhook for critical incidents - React dashboard with live map, chat interface, and route planner - Fully deployed on Vultr VPS Tech Stack: Python, FastAPI, Google Gemini 2.5 Flash, TomTom APIs, React, N8N, Vultr

🌎 Hybrid Hackathon | 💻 Online Build: 3–8 November 2026 | On-site Phase: 8 November 2026 📍 On-site Venue: Pierpont Place 163 W Pierpont Ave, Salt Lake City, UT 84101, USA ✨ Please note that travel and accommodation are not covered.

🌎 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.

🌎 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.

💻 Online Hackathon | ⏳ Build: 48 hours | 📅 September 25–27, 2026 The official IBM Bob 2.0 hackathon. Build what's next in AI-assisted development, alongside the developers and experts shaping it. ⭐ Get help from experts throughout the event 🤝 Join a team or build solo 💰 Prize pool: $12,000 🧑🏻‍💻 Register before the Kick-Off Stream to start building with Bob