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SaveIQ | Media Intelligence Platform

Author: Syed Sajjad Hussain
Role: Applied AI Engineer

SaveIQ is a production-focused media intelligence platform built to solve a real and growing problem:
Creators and teams spend hours consuming long videos but struggle to extract insights, predict performance, and convert content into actionable assets.

SaveIQ automates this entire workflow using AI.


The Problem SaveIQ Solves

In today’s creator and marketing ecosystem:

  • Valuable insights are locked inside long-form videos
  • Manual review is time-consuming and inconsistent
  • Content decisions are often intuition-based, not data-driven
  • Repurposing videos into blogs or social threads takes hours

SaveIQ addresses this by turning raw media into structured intelligence


What SaveIQ Does

SaveIQ ingests video content and transforms it into actionable outputs using a reliable, fault-tolerant AI pipeline.

Core Capabilities

  • Universal Media Extraction
    Downloads and processes videos from 50+ platforms using yt-dlp.

  • AI-Powered Content Understanding
    Uses Anthropic Claude to analyze transcripts, context, and intent.

  • Viral Potential Estimation
    Evaluates sentiment and engagement signals to predict content performance.

  • Automated Content Generation
    Generates:

    • SEO-friendly blog drafts
    • Social media threads
    • Content ideas and summaries
  • Interactive UI
    Clean Streamlit-based interface designed for fast iteration and usability.

  • Reliability by Design
    Built with retry logic and monitoring to handle real-world API failures gracefully.


Tech Stack (Deliberately Minimal & Production-Oriented)

  • Python – Core orchestration and business logic
  • Streamlit – Interactive web interface
  • yt-dlp – Robust media extraction
  • Anthropic (Claude API) – Content analysis and generation
  • python-dotenv – Secure environment variable management
  • requests – External API communication
  • watchdog – File system monitoring for processing workflows
  • tenacity – Retry logic for fault-tolerant AI calls

This stack prioritizes stability, security, and real-world usability over unnecessary complexity.


🛠️ Installation

Prerequisites

  • Python
  • pip

Setup

git clone https://github.com/your-username/saveiq.git
cd saveiq
pip install -r requirements.txt
ANTHROPIC_API_KEY=your_api_key_here
streamlit run app.py

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