小红书/抖音/快手/视频号/B站 自媒体账号体检+爆款拆解工具。扫同赛道找对标、拆爆款为什么爆、诊断为什么没人看，顺手出可粘贴仿写初稿。支持带货电商模式。支持codex, claude code, workbuddy
⚡ The YouTube Video Analyzer Pro brings AI-powered analysis capabilities to your fingertips, offering deep insights for content creators and marketers.
A Streamlit + SQLite + Python dashboard for monitoring content performance KPIs. Tracks impressions, clicks, conversions, CTR, and conversion rates across categories and time. Includes an automated ETL from CSV → SQL view, interactive charts, and filters for data-driven content optimization.
YouTube Content Optimizer is a lightweight desktop application designed to help video creators improve their channel performance and audience reach. It provides smart analytics, engagement insights, and optimization strategies for sustainable content growth.
Short-drama data analysis toolkit for content insights
Find a TikTok user's slideshow posts and OCR the caption text off every slide with an AI vision model.
🎭 BERT fine-tuned on 120K+ samples for audience intelligence. 98.78% Val F1, cross-cultural nuance detection (75.9% vs 61-67% baselines). 8-agent validation pipeline. ACL/EMNLP 2026. Python, PyTorch, Hugging Face.
Interactive JioHotstar Content Analytics Dashboard built with Power BI, Python, Numpy, Pandas, Plotly, Pillow, and Streamlit, featuring content trends, genre analysis, ratings insights, and global distribution analytics.
Local Streamlit dashboard for comparing manually entered social content performance.
An open-source, local-first (MCP) server for Automated Schema org JSON-LD Generation, GA4 Metric Validation, llm.txt Auditing
Netflix Business Analytics Dashboard using Python, Pandas, and Matplotlib for data visualization and business insights
TikTok and YouTube content trend analysis framework with tagging and engagement metrics.
Netflix catalogue EDA dashboard — genre treemaps, country choropleth, yearly content growth animation, rating distributions, duration KDE plots, and full-text title search.
ML-powered web app predicting Netflix content performance (28-day viewing hours) using Gradient Boosting with 85%+ accuracy
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