Section 1:The "Cost Per Memory" (CPM) User Flow

Redefining the Value of Attention: The CPM Engine Unlike traditional CPC (Cost Per Click) or CPM (Cost Per Mille) models, Project Eagle introduces the world's first Cost Per Memory (CPM) advertising flow. This proprietary engine ensures guaranteed user engagement through cognitive tasks.

1. Ad Impression & Cognitive Task:
Users are presented with sponsor-branded quizzes, such as translation challenges or contextual questions directly related to the sponsor's brand or products.

2. Active Recall & Input:
Users must correctly answer the task, transitioning their brain state from passive consumption to active recall. This forces genuine engagement with the ad content.

3. Multi-Layer Verification (Deterministic & AI) & Reward:
Our backend instantly verifies the input using both exact-match algorithms and dynamic AI evaluation via Google Gemini. Once verified, it unlocks micro-rewards—such as in-platform coins—for the user, and provides advertisers with unprecedented, verified cognitive engagement metrics.

Section 2: Deep API Integrations
(Google Cloud Ecosystem)

Proprietary AI & Cloud Integrations Project Eagle is built natively on Google Cloud, utilizing deep API integrations to power our Gamified EdTech platform.

🧠 Dynamic Evaluation via Google Gemini API: We don't rely on simple static string matching. Our grading engine integrates with the Google Gemini API to analyze user inputs in real-time. By utilizing Natural Language Processing (NLP), Gemini evaluates spelling variations, contextual nuances, and partial matches, providing users with immediate, highly personalized feedback—acting as a dynamic, 24/7 AI tutor.

🎙️ Automated Audio Pipeline via Google Cloud TTS: For our listening courses, we have developed a fully automated Node.js data pipeline.
It programmatically fetches JSON quiz data, applies SSML (Speech Synthesis Markup Language) for natural conversational pauses, and routes it through Google Cloud Text-to-Speech (Neural2 & Chirp3 voices). The raw audio is then stitched and compiled instantly using integrated FFmpeg scripts, generating thousands of high-quality native MP3 assets with zero manual recording.

Section 3: Tech Stack & Architecture

Our Cloud-Native Stack

  • Frontend: React.js, Tailwind CSS (Responsive, Component-Driven)

  • Backend / BaaS: Firebase Auth, Cloud Firestore (Real-time NoSQL)

  • AI / Machine Learning: Google Gemini API (Dynamic Evaluation Engine)

  • Cloud & Infrastructure: Google Cloud Platform (GCP), Cloud Functions (Serverless Compute), Web Speech API (Edge Fallback Engine)

Learn more about our project : Project_Eagle_Memory_Economy(DEMO)