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Project Raseed

AI-powered multimodal assistant for receipt management, Google wallet integration, and sustainable spending. Built with Flutter, Python, and Vertex AI Agents on Google Cloud.


Features

1. Multimodal Receipt Parsing (Ingestion Agent)

  • Upload receipts as image, document, video, or audio
  • Uses Document AI, Gemini 2.5, and Speech-to-Text
  • Extracted data is structured as JSON and stored in Firestore

2. Entity Classification & Knowledge Graph (Graph Builder Agent)

  • Auto-classifies products with Gemini 2.5 Pro
  • Constructs entity-relation graphs stored in Firestore

3. Smart Reminders (WarranTrack Agent)

  • Flags warranty and expiration items
  • Schedules Google Calendar reminders for returns, insurance, expiry

4. Google Wallet Integration (Pass Generator Agent)

  • Generates Wallet Passes: summaries, shopping lists, reminders
  • Pushes updates via the Google Wallet API

5. Sustainable Spending (EcoSpend & SmartShelf Agents)

  • Detects recurring purchases
  • Suggests eco-friendly, cost-saving alternatives
  • Predicts product shelf life and performs Firestore cleanup

Additional Capabilities

  • Multilingual & voice-based querying
  • Google Calendar integration for automated reminders
  • Spending graph visualizations and insights
  • Suggests nearby recycling/pre-owned stores via Places API
  • Modular design with Vertex AI Agents for scalable orchestration

Tech Stack

Layer Technology
Frontend Flutter
Backend Python (FastAPI/Flask)
AI/Cloud Vertex AI, Gemini 2.5, Document AI, Firestore
API Wallet API, Calendar API, Google Places API

Tech Stack

Screenshot 2025-07-27 120716

Contributors

Sajeev Senthil
Sajeev Senthil
Charuvarthan
Charuvarthan
Suganth
Suganth
Abiruth
Abiruth
Siva Prasanth Sivaraj
Siva Prasanth Sivaraj

🏆 Recognition

Winner of the “Breakthrough Concept" Award

Presented at the Google Agentic AI Day Hackathon for outstanding innovation in agentic AI applications.

  • 🌍 57,000+ developers signed up globally
  • 💡 9,100+ ideas submitted
  • ✅ Top 700 teams shortlisted — including 650+ professional teams and 50+ student teams
  • 🎯 For our problem statement, we were the only student team to reach the Top 15 finalists
  • 🥇 Honored with the Concept Award for pushing boundaries in multimodal AI and sustainable tech