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PolicyPulse AI — Autonomous Compliance Monitoring Platform

PolicyPulse AI is an autonomous compliance monitoring platform that eliminates the manual burden of regulatory compliance for organizations. The Problem: Companies spend thousands of hours manually reviewing compliance policies, cross-checking employee records, vendor contracts, and infrastructure configurations against GDPR, SOC 2, and ISO 27001 requirements. Violations go undetected for months, resulting in heavy fines and data breaches. What We Built: PolicyPulse AI lets you upload any compliance policy PDF — it automatically extracts enforceable rules using Google Gemini AI, then continuously scans your company database for violations with confidence scoring and severity classification. Key Features: AI Policy Ingestion — Upload a PDF and Gemini extracts structured compliance rules automatically Autonomous Violation Detection — Rule engine scans all company records (employees, servers, vendors, data stores) and flags violations in real time Multi-Agent ReAct System — 4 specialist AI agents (Security, Privacy, Vendor, Operations) autonomously remediate violations using a perceive → reason → act → reflect loop Proactive Risk Prediction — Scans records before a violation occurs and predicts upcoming compliance risks AI Policy Advisor — Analyzes violation patterns and suggests new policy rules to close coverage gaps Compliance Dashboard — Live compliance score, violation trends, audit reports with Gemini-powered executive summaries Human Oversight — Full audit trail; every AI action can be reviewed, approved, or escalated Tech Stack: React 19 + TypeScript + Vite (frontend), FastAPI + Python (backend), MongoDB, Google Gemini 1.5 Flash, JWT auth with role-based access control. Built for organizations that need compliance to be continuous, automated, and explainable — not a quarterly checkbox exercise.

Reqmind-AI

ReqMind is an AI-powered platform that automatically transforms scattered project communication into a clear, structured Business Requirements Document (BRD) while measuring stakeholder alignment and project risks in real time. In most projects, important decisions and requirements are spread across emails, meeting transcripts, chats, and documents. ReqMind ingests these multiple sources, cleans and analyzes the content using Large Language Models (LLMs), and: Generates a structured BRD (objectives, stakeholders, requirements, timelines, risks) Detects conflicts and contradictions between stakeholder inputs Calculates an Alignment Score to show agreement levels Identifies risk areas like scope changes, timeline inconsistencies, or unclear decisions Provides a dashboard for project health and insights Maintains traceability by linking requirements back to original sources Goal:Reduce miscommunication, prevent requirement drift, and help teams make faster, more aligned decisions. In one line:ReqMind turns unstructured project conversations into actionable requirements and alignment intelligence.

PreFlight

Our project, Preflight, is a strategic requirements intelligence platform designed to transform scattered business communications—emails, meeting transcripts, chat messages—into structured, actionable Business Requirements Documents (BRDs). Using AI-powered analysis, it extracts key decisions, functional and non-functional requirements, risks, and timelines. The platform also includes a live simulation module that models how project variables like scope, budget, timeline, and team capacity affect success probability and risk, enabling stakeholders to evaluate, adjust, and optimize plans before execution. The goal is to save time, reduce errors, and provide a clear, decision-ready view of project requirements.