🧭 Overview

Ethos-Vision is an AI-powered supply chain transparency platform that lets consumers instantly verify the ethical credentials of any product by scanning its barcode or receipt. It goes beyond traditional RAG — instead of just retrieving data, it autonomously investigates and verifies claims in real time using a swarm of specialized AI agents.


🚨 The Problem

Global supply chains are opaque, and consumers are being left in the dark:

  • 70% of consumers want to buy ethically
  • 90% distrust corporate sustainability claims
  • Static Data — Current "green scores" rely on outdated, self-reported, or incomplete corporate disclosures
  • Transparency Gap — No real-time way to verify the ethical journey of a product at the point of purchase
  • Information Asymmetry — Corporations hold the data; consumers are left with marketing buzzwords

✅ The Solution

Ethos-Vision bridges this gap with a 3-step autonomous pipeline:

1. SCAN       →    User scans a barcode or receipt
2. INVESTIGATE →   AI agent swarm autonomously crawls the web & verifies claims
3. REVEAL     →    Complex data becomes a compelling, interactive ethical narrative

🔍 Core Features

🖼️ Multi-Modal Vision Intelligence

  • Powered by Gemini 1.5 Pro and GPT-4o Vision for high-accuracy OCR and object recognition
  • Processes barcodes, product labels, and store receipts
  • Zero manual data entry — one snap triggers the entire research swarm
  • Extracts: Brand & parent company, Product SKU & manufacturing batch, Geographic origin & logistics hubs

🤖 Autonomous Research Swarm

Orchestrated via LangGraph and CrewAI, four specialized agents run in parallel:

Agent Role
⚖️ Labor Auditor Investigates factory conditions, wage reports, and labor union disclosures
🌿 Carbon Tracker Estimates logistics and manufacturing emissions via shipping routes and energy grid data
📰 News Fact-Checker Scans global news archives and NGO databases for ethical controversies
🔍 Trust Verifier Validates corporate claims against third-party certifications and satellite imagery

📊 Real-Time Verification & Fact-Checking

Dynamic Research Sources:

  • Live web crawl
  • Financial reports
  • Satellite imagery
  • News archives
  • NGO databases
  • Legal filings

Verification Logic:

  • Cross-Referencing — Agents validate marketing claims against independent news and financial data
  • Conflict Detection — Identifies discrepancies between self-reported sustainability and actual supply chain behavior
  • Evidence-Based — Every score component is backed by a specific, verifiable source link

📖 Interactive Ethical Narrative

  • Personalized Storytelling — Complex supply chain data converted into easy-to-understand narratives tailored to user values
  • Drill-Down Capabilities — Users interact with specific agent findings to view source documents, news reports, or carbon calculations
  • Actionable Insights — Suggests ethical alternatives in real time if a product fails the user's personal criteria

Built With

  • frontend-react-+-tailwind-css-?-sleek
  • gemini
  • gpt-4o
  • langgraph
  • llms
  • ocr
  • python
  • vision
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