PlanOpticon
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| --- README.md | ||
| +++ README.md | ||
| @@ -1,8 +1,5 @@ | ||
| 1 | -# PlanOpticon | |
| 2 | -goes through a video and captures notes and diagrams from the conversation | |
| 3 | - | |
| 4 | 1 | PlanOpticon |
| 5 | 2 | Comprehensive Video Analysis & Knowledge Extraction CLI |
| 6 | 3 | PlanOpticon is an advanced AI-powered CLI tool that conducts thorough analysis of video content, extracting structured knowledge, diagrams, and actionable insights. Using state-of-the-art computer vision and natural language processing techniques, PlanOpticon transforms video assets into valuable, structured information. |
| 7 | 4 | |
| 8 | 5 | Core Features |
| @@ -13,25 +10,27 @@ | ||
| 13 | 10 | Knowledge Structure: Organization of extracted content into searchable, related concepts |
| 14 | 11 | Plan Generation: Synthesis of extracted elements into cohesive action plans and summaries |
| 15 | 12 | |
| 16 | 13 | |
| 17 | 14 | Technical Implementation |
| 18 | -PlanOpticon leverages multiple AI models and processing pipelines to achieve comprehensive video analysis: | |
| 15 | +PlanOpticon leverages cloud APIs and efficient processing pipelines to achieve comprehensive video analysis: | |
| 19 | 16 | Architecture Overview |
| 20 | -Video Input → Frame Extraction → Parallel Processing → Knowledge Integration → Structured Output | |
| 21 | - ↓ ↓ | |
| 22 | - Visual Processing Audio Processing | |
| 23 | - • Diagram Detection • Speech Recognition | |
| 24 | - • OCR Extraction • Speaker Diarization | |
| 25 | - • Content Tracking • Semantic Analysis | |
| 17 | +``` | |
| 18 | +Video Input → Frame Extraction → Cloud API Integration → Knowledge Integration → Structured Output | |
| 19 | + ↓ ↓ ↓ | |
| 20 | + Frame Selection API Request Management Result Processing | |
| 21 | + • Key Frame • Vision API Calls • Content Organization | |
| 22 | + • Scene Detection • Speech-to-Text API • Relationship Mapping | |
| 23 | + • Content Changes • LLM Analysis API • Mermaid Generation | |
| 24 | +``` | |
| 26 | 25 | Key Components |
| 27 | 26 | |
| 28 | -Multi-modal neural networks for frame analysis | |
| 29 | -Advanced speech recognition with contextual awareness | |
| 30 | -Computer vision pipeline for visual element extraction | |
| 31 | -Knowledge graph construction for relationship mapping | |
| 32 | -Temporal pattern recognition across video segments | |
| 27 | +Cloud API integration for speech-to-text transcription | |
| 28 | +Vision API utilization for diagram and visual content detection | |
| 29 | +LLM-powered content analysis and summarization | |
| 30 | +Efficient prompt engineering for specialized content extraction | |
| 31 | +Knowledge integration system for relationship mapping and organization | |
| 33 | 32 | |
| 34 | 33 | |
| 35 | 34 | Installation |
| 36 | 35 | bash# Clone the repository |
| 37 | 36 | git clone https://github.com/yourusername/planopticon.git |
| 38 | 37 |
| --- README.md | |
| +++ README.md | |
| @@ -1,8 +1,5 @@ | |
| 1 | # PlanOpticon |
| 2 | goes through a video and captures notes and diagrams from the conversation |
| 3 | |
| 4 | PlanOpticon |
| 5 | Comprehensive Video Analysis & Knowledge Extraction CLI |
| 6 | PlanOpticon is an advanced AI-powered CLI tool that conducts thorough analysis of video content, extracting structured knowledge, diagrams, and actionable insights. Using state-of-the-art computer vision and natural language processing techniques, PlanOpticon transforms video assets into valuable, structured information. |
| 7 | |
| 8 | Core Features |
| @@ -13,25 +10,27 @@ | |
| 13 | Knowledge Structure: Organization of extracted content into searchable, related concepts |
| 14 | Plan Generation: Synthesis of extracted elements into cohesive action plans and summaries |
| 15 | |
| 16 | |
| 17 | Technical Implementation |
| 18 | PlanOpticon leverages multiple AI models and processing pipelines to achieve comprehensive video analysis: |
| 19 | Architecture Overview |
| 20 | Video Input → Frame Extraction → Parallel Processing → Knowledge Integration → Structured Output |
| 21 | ↓ ↓ |
| 22 | Visual Processing Audio Processing |
| 23 | • Diagram Detection • Speech Recognition |
| 24 | • OCR Extraction • Speaker Diarization |
| 25 | • Content Tracking • Semantic Analysis |
| 26 | Key Components |
| 27 | |
| 28 | Multi-modal neural networks for frame analysis |
| 29 | Advanced speech recognition with contextual awareness |
| 30 | Computer vision pipeline for visual element extraction |
| 31 | Knowledge graph construction for relationship mapping |
| 32 | Temporal pattern recognition across video segments |
| 33 | |
| 34 | |
| 35 | Installation |
| 36 | bash# Clone the repository |
| 37 | git clone https://github.com/yourusername/planopticon.git |
| 38 |
| --- README.md | |
| +++ README.md | |
| @@ -1,8 +1,5 @@ | |
| 1 | PlanOpticon |
| 2 | Comprehensive Video Analysis & Knowledge Extraction CLI |
| 3 | PlanOpticon is an advanced AI-powered CLI tool that conducts thorough analysis of video content, extracting structured knowledge, diagrams, and actionable insights. Using state-of-the-art computer vision and natural language processing techniques, PlanOpticon transforms video assets into valuable, structured information. |
| 4 | |
| 5 | Core Features |
| @@ -13,25 +10,27 @@ | |
| 10 | Knowledge Structure: Organization of extracted content into searchable, related concepts |
| 11 | Plan Generation: Synthesis of extracted elements into cohesive action plans and summaries |
| 12 | |
| 13 | |
| 14 | Technical Implementation |
| 15 | PlanOpticon leverages cloud APIs and efficient processing pipelines to achieve comprehensive video analysis: |
| 16 | Architecture Overview |
| 17 | ``` |
| 18 | Video Input → Frame Extraction → Cloud API Integration → Knowledge Integration → Structured Output |
| 19 | ↓ ↓ ↓ |
| 20 | Frame Selection API Request Management Result Processing |
| 21 | • Key Frame • Vision API Calls • Content Organization |
| 22 | • Scene Detection • Speech-to-Text API • Relationship Mapping |
| 23 | • Content Changes • LLM Analysis API • Mermaid Generation |
| 24 | ``` |
| 25 | Key Components |
| 26 | |
| 27 | Cloud API integration for speech-to-text transcription |
| 28 | Vision API utilization for diagram and visual content detection |
| 29 | LLM-powered content analysis and summarization |
| 30 | Efficient prompt engineering for specialized content extraction |
| 31 | Knowledge integration system for relationship mapping and organization |
| 32 | |
| 33 | |
| 34 | Installation |
| 35 | bash# Clone the repository |
| 36 | git clone https://github.com/yourusername/planopticon.git |
| 37 |