Rimsha Talib@Rimsha_Talib

MEIA-LAB (Multi-Agent Earnings Intelligence & Alignment Lab) is an end-to-end AI platform that automates the verification of corporate earnings call claims against official SEC filings in real-time. Every quarter, public companies present their financial performance through earnings calls and slide decks, but analysts must manually cross-reference hundreds of pages of SEC disclosures to separate fact from corporate spin—a process that is slow, error-prone, and costly. MEIA-LAB solves this by deploying a team of specialized AI agents orchestrated through LangChain and LangGraph. The ASR Agent uses Whisper to transcribe earnings call audio with high accuracy. The Vision Agent performs layout-aware OCR on presentation slides using PyMuPDF and multimodal LLMs. The Filing Agent retrieves the latest 10-Q and 8-K filings directly from SEC EDGAR and extracts structured financial data. Finally, the Orchestrator cross-examines all sources, scores each management claim for consistency, flags risk discrepancies, and generates source-cited analyst briefs. The platform features a React-based dashboard that surfaces a real-time Consistency Score, a verified claims panel with direct evidence citations, a risk monitor highlighting guidance gaps, and an Evidence Room linking every finding to exact filing pages and transcript lines. All heavy inference workloads including Whisper transcription and high-throughput vector embedding generation for RAG-based filing search via ChromaDB are accelerated on AMD Developer Cloud GPUs using ROCm, delivering massive speedups over CPU execution. MEIA-LAB cuts institutional-grade earnings research from hours to under a minute, helping hedge funds, equity research desks, and compliance teams invest with certainty.

In the rapidly evolving landscape of oncology, researchers and investors are often hindered by fragmented data. Triple-Negative Breast Cancer (TNBC) research is currently siloed across disparate sources—including PubMed, ClinicalTrials.gov, patent databases, and news outlets—making manual monitoring slow, expensive, and error-prone. TNBC Insight AI solves this by aggregating, analyzing, and delivering real-time intelligence through a single, unified dashboard. Built on a robust, enterprise-grade architecture using React and a Python/Flask API, our platform leverages OpenAI’s NLP to distill complex publications and trial reports into concise, actionable briefs. The system automates the entire intelligence workflow, allowing users to track drug pipelines, monitor trial enrollment, identify funding signals, and visualize patent landscapes in real-time. By automating these tasks, TNBC Insight AI enables teams to move at the speed of science, ensuring that critical competitive moves and emerging research trends are never missed.

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. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.

AI Genesis is a global hybrid hackathon that brings AI builders together from around the world — starting online and culminating live at /function1 AI Conference & Exhibition 2026 in Dubai. 📅Oct 26 – Nov 3, 2026 • Oct 26 – Nov 2: Online build & collaboration All projects must be submitted by end of day on November 2. • Nov 2 (Online + Dubai): An exclusive on-site build day in Dubai for selected participants. • Nov 3 (Dubai): Live on-stage pitching & winners announcement at the /function1 Conference. 🌟 Get support from expert mentors throughout. 👥 Go solo or team up. 📍 Please note: 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. 🧑🏻‍💻 Secure your spot now, sign up before the Kick-Off Stream!

📅 June 12–19, 2026 • June 12: Kick-off Stream • June 12–19: Online Build Phase • June 19: Project Submissions Ends 🌍 Fully online hackathon. Join and build from anywhere in the world. 🤝 Build practical enterprise workflows where AI agents communicate, coordinate, exchange context, and complete work together. 🧠 Powered by Band and Codeband, built for collaborative AI systems and agent orchestration. 🏆 Prize Pool: $10,000+ 🧑‍💻 Apply now to build the next generation of enterprise multi-agent systems.

🌍 Hybrid Hackathon | 💻 Online Build: May 25–30,2026 | 📍 SF Onsite Finale: May 30–31,2026 We’ve unlocked the web for your AI. Now build what wasn’t possible before. Build AI agents with live web data, then join the SF onsite finale at Bright Data’s new Web Data Loft. 🚀 The onsite experience will take place during the opening of Bright Data’s new SF space, The Web Data Loft. 📍 On-site Venue (May 30–31): The Web Data Loft 625 2nd St, San Francisco, CA 🏆 $18,300 cash prize + Bright Data AI Startup Program opportunities 🍕 Free food, drinks, networking, workshops, mentorship, and live demos 🎁 Onsite attendees are automatically entered into a live giveaway for 4 × $100 Amazon gift cards. 🧑‍💻 Apply now to build AI agents powered by real-time web access.