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DataLens

DataLens is an AI-powered Intelligent Data Dictionary Agent designed to help organizations understand, validate, and trust their datasets. The platform automatically generates data dictionaries, identifies data quality issues, detects governance and privacy risks, and evaluates dataset readiness for analytics and AI applications. Our goal is to reduce the manual effort involved in data understanding and preparation while enabling organizations to make faster, more reliable, and responsible data-driven decisions.

SchemaScribe-AI

Manual data profiling, messy schemas, and LLM math hallucinations make data analysis a tedious and error-prone process for data teams. SchemaScribe-AI solves this by introducing an enterprise-grade, agentic approach to data management and analytics. Instead of overwhelming the LLM with millions of raw rows (which triggers token limits and logical hallucinations), SchemaScribe-AI acts as an Intelligent Agentic Planner. It automatically profiles heavy datasets, generates AI-powered data dictionaries, performs automated missing-value imputation, and visually maps multi-file Entity-Relationship Diagrams (ERDs) using semantic key matching. With its built-in secure Agentic Sandbox, users can chat with their datasets in plain natural language. The AI seamlessly translates human queries into high-performance Python/Pandas vectorized code, executes it on the backend, and returns 100% mathematically accurate business insights and analytical charts." Key Achievements / Highlights: 100% Accurate Analytics: Vectorized data engine prevents LLM hallucinations by executing deterministic Python code in a secure sandbox. Semantic Multi-File Mapping: Automatic Primary/Foreign key detection to render interactive Mermaid.js ERD diagrams. Smart Data Studio: One-click IQR-based outlier mitigation and missing data profiling.

NexusBRD

Project: NexusBRD - Multi-Modal Requirements Agent   Track: #ps21 - BRD Generation Agent   Team: Brute Force   1. Executive Summary NexusBRD is an enterprise-grade AI agent built to eliminate the manual bottleneck of requirement gathering. By leveraging Google's Vertex AI Agent Builder and Gemini 3.1 Pro's native multi-modal capabilities, NexusBRD ingests unstructured client data (audio transcripts, UI sketches, text notes) and autonomously generates highly structured, explainable Business Requirements Documents. 2. Core Problem Statement Product Managers spend 40% of their time translating fragmented conversations and sketches into formal BRDs. This manual translation causes: - Context Attrition: Crucial visual details from whiteboard sketches are lost. - Traceability Gaps: Developers cannot trace a functional requirement back to the specific client audio clip or sketch that originated it.

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