Multimodal Video SEO & Content by Digamber JhaMultimodal Video SEO & Content by Digamber Jha

Multimodal Video SEO & Content

Digamber Jha

Digamber Jha

Multimodal Video SEO & Content Intelligence Engine Engineered an end-to-end, 100% offline Multimodal Video SEO & Strategy Intelligence system designed for high-volume content creators and media marketing agencies.
Core Multimodal AI Pipeline: • Audio Intelligence (Whisper): Millisecond-precision speech-to-text, tone detection, cadence tracking, and keyword density analysis. • Computer Vision & Thumbnail Scorer (OpenCV + Vision LLMs): Semantic scene identification, on-screen text extraction, and predictive A/B thumbnail clickability scoring. • Strategic Logic & SEO Pack: Correlates audio and visual signals to compute weighted retention scores (Hook 35%, Keyword 25%, Visual 25%, Sentiment 15%) and automated metadata packages. • Competitor Benchmarking: Automated transcript gap analysis to identify underserved search demand and audience retention triggers. • Automated Client Reporting: Production-grade automated PDF audit generation with visual breakdown charts.
Tech Stack: • Core: Python, FastAPI (Async Orchestration), OpenCV, FPDF2, SQLite • AI & Local Models: OpenAI Whisper, Gemma / Local LLMs via Ollama, TextBlob • Dashboard: Streamlit Analytical Interface
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Posted Aug 27, 2026

Multimodal Video SEO & Content Intelligence Engine Engineered an end-to-end, 100% offline Multimodal Video SEO & Strategy Intelligence system designed for h...