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Designed the backend part of Aetos. AETOS (Automated Comprehensive Technology Intelligence and Forecasting Platform) is an AI-powered system that transforms scattered technology data into real-time, actionable insights for strategic decision-making.

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AETOS — Automated Comprehensive Technology Intelligence & Forecasting Platform

AETOS (Automated Comprehensive Technology Intelligence and Forecasting Platform) is an AI-powered system that transforms scattered technology data into real-time, actionable insights for strategic decision-making.

Team Hexadecimals | SIH 25245

🚀 Overview

Across research organizations like DRDO, technology forecasting often relies on manual, fragmented methods — from patent searches and publication scans to supplier mapping and TRL assessments.
These approaches are time-consuming, siloed, and outdated before they reach stakeholders.

AETOS fixes that by providing an intelligent, unified dashboard that continuously aggregates, analyzes, and visualizes technology intelligence in real-time.


🧠 Core Features

1. Technology Convergence Detection

Identify where disciplines intersect before the world notices.

  • Maps relationships across patents, publications, and companies.
  • Detects emerging intersections (e.g., AI + Drones, Materials + Energy Storage).
  • Interactive graphs visualize research clustering and co-evolution across domains.

2. TRL Progression & Forecasting

Track how technologies mature over time.

  • AI-driven Technology Readiness Level (TRL) estimation from publications and patents.
  • Real-time S-curve and Hype curve forecasting.
  • Historical and predictive analytics to guide R&D investment timing.

3. Adoption Rate Analytics

Understand how innovation spreads in the real world.

  • Aggregates market, funding, and industry signals to estimate adoption velocity.
  • Highlights public vs private R&D investments by sector.
  • Dynamic dashboards showing market size evolution and convergence trends.

🔗 Data Integration

AETOS connects and harmonizes multiple data sources:

  • Google Patents API — Patent filings and inventor trends.
  • arXiv API — Research papers, abstracts, and citations.
  • Industry Reports (custom feeds) — Market size, company engagement, and funding data.
  • Simulated modules for demo visualization (for non-public data).

🧩 System Components

Module Description
Data Aggregator Fetches and normalizes inputs from APIs and databases.
AI Analysis Engine Performs TRL estimation, clustering, and forecasting using LLMs + ML models.
Visualization Layer React-based dynamic dashboard with real-time graphs and filters.
Command Trigger Interface Voice and text-based query input (e.g., say “Drone” to fetch TRL insights).

🎮 Live Demo (Example Flow)

  1. Launch AETOS dashboard.
  2. Say or type a keyword (e.g., Drone).
  3. Within seconds, AETOS retrieves related research papers and patents.
  4. Each paper is tagged with inferred TRL levels and direct links to arXiv.
  5. Explore convergence graphs and adoption metrics to understand the full ecosystem.

🧭 Vision

AETOS aims to become a comprehensive technology foresight platform — enabling organizations to:

  • Anticipate emerging technologies.
  • Quantify innovation readiness.
  • Bridge data silos with automated intelligence.

🛠️ Tech Stack

  • Frontend: React.js, TailwindCSS, Chart.js / D3.js
  • Backend: Python (FastAPI / Flask)
  • AI & Data: Scikit-learn, Transformers, OpenAI / Llama APIs
  • Data Sources: Google Patents, arXiv, Custom Reports
  • Database: PostgreSQL / MongoDB
  • Hosting: Dockerized deployment (optional Redis for caching)

About

Designed the backend part of Aetos. AETOS (Automated Comprehensive Technology Intelligence and Forecasting Platform) is an AI-powered system that transforms scattered technology data into real-time, actionable insights for strategic decision-making.

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