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Beacon

An AI platform that converts unstructured project data — Slack threads, emails, meeting notes — into validated BRD drafts automatically.

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Next.js 14FastAPIPythonGroq LLMPostgreSQLFirebase
Beacon

Overview

Beacon is a full-stack AI platform that automates Business Requirements Document (BRD) creation. It ingests raw project data from multiple sources, filters out the noise, extracts the meaningful signals, and runs a multi-agent LLM pipeline to produce a structured, professional BRD — all reviewable and exportable from a modern web UI. Built at HackFest 2.0 with a team of four.

The Problem

Writing a BRD means manually sifting through scattered Slack threads, email chains, meeting notes, and documents — then turning that mess into a structured, stakeholder-ready document. It's slow, error-prone, and easy to miss requirements buried in the noise.

Beacon takes that scattered, unstructured input and turns it into a validated BRD draft automatically.

What I Built

  • Multi-source ingestion — Slack OAuth and Gmail connectors plus file uploads pull in raw project data
  • Two-phase noise filter — heuristics followed by a Groq LLM batch classifier separate signal from noise
  • Multi-agent BRD pipeline — specialized agents generate the structured document, with a validator and exporter
  • Human-in-the-loop versioning — drafts are reviewable, editable, and collaboratively refined before export
  • Modern web app — auth, sessions, ingestion UI, BRD review, collaboration, and export

Architecture

  • frontend/ — Next.js 14 app: auth, sessions, ingestion UI, BRD review, collaboration, export
  • backend/api/ — FastAPI server: REST endpoints, orchestration, streaming
  • Noise filter module — two-phase classifier (heuristics + Groq LLM batch)
  • BRD module — multi-agent generation pipeline, validator, exporter, HITL versioning
  • Integration module — Slack OAuth + Gmail connectors

Tech Stack

Frontend: Next.js 14, TypeScript, Tailwind CSS

Backend: FastAPI, Python 3.9+

AI: Groq LLM engine, multi-agent classification + generation

Data & Auth: Firebase (Auth & Firestore), PostgreSQL

Use Case

Product teams, consultants, and engineering orgs who want to compress hours of requirements-gathering into minutes — turning the chatter that already exists across their tools into a clean, validated BRD.