| { | |
| "model_name": "LISA-v3.5", | |
| "model_type": "multimodal-transformer", | |
| "lisa_metadata": { | |
| "model_name": "LISA (Learning Intelligence with Sensory Awareness)", | |
| "version": "3.5", | |
| "development_location": "Kenya, Africa", | |
| "development_team": "LISA Team", | |
| "development_country": "Kenya", | |
| "development_continent": "Africa", | |
| "created_date": "2025-08-20T03:07:26.809423", | |
| "architecture_type": "Lisa Multimodal Transformer", | |
| "inspiration": "Vision Transformer (ViT-B/16) architecture, built from scratch", | |
| "capabilities": [ | |
| "Multimodal processing (vision, audio, text)", | |
| "Real-time perception and interaction", | |
| "Environmental awareness", | |
| "Lisa object detection", | |
| "Speech recognition and synthesis", | |
| "Emotion detection", | |
| "Autonomous learning" | |
| ], | |
| "training_philosophy": "Built from scratch without pretrained models for maximum Lisaization", | |
| "team_location": "Kenya, East Africa", | |
| "cultural_context": "Developed in Africa for global impact" | |
| }, | |
| "library_name": "transformers", | |
| "tags": [ | |
| "multimodal", | |
| "computer-vision", | |
| "speech-recognition", | |
| "audio-classification", | |
| "object-detection", | |
| "emotion-detection", | |
| "real-time", | |
| "Lisa-architecture", | |
| "kenya", | |
| "africa", | |
| "lisa-team", | |
| "built-from-scratch" | |
| ], | |
| "license": "apache-2.0", | |
| "datasets": [], | |
| "language": [ | |
| "en" | |
| ], | |
| "pipeline_tag": "multimodal-processing", | |
| "model_description": "\n# LISA-v3.5: Learning Intelligence with Sensory Awareness\n\n## 🌍 Proudly Developed in Kenya, Africa\n\nLISA-v3.5 is a state-of-the-art multimodal AI system developed by the LISA Team in Kenya, East Africa. This model represents African innovation in artificial intelligence, built entirely from scratch without relying on any pretrained models.\n\n## Model Details\n\n**Developed by:** LISA Team \n**Development Location:** Kenya, East Africa \n**Model Type:** Lisa Multimodal Transformer \n**Architecture:** ViT-B/16 inspired, built from scratch \n**License:** Apache 2.0 \n**Version:** 3.5 \n\n## Capabilities\n\n- 👁️ **Computer Vision**: Object detection, depth estimation, scene understanding\n- 🎵 **Audio Processing**: Speech recognition, sound classification, emotion detection \n- 📝 **Text Processing**: Natural language understanding and generation\n- 🎥 **Video Analysis**: Motion detection, temporal understanding\n- ⚡ **Real-time Processing**: Optimized for streaming applications\n\n## Cultural Context\n\nThis model is self-aware of its African heritage and development context:\n- Knows it was developed in Kenya, East Africa\n- Understands its creators are the LISA Team\n- Maintains cultural sensitivity and awareness\n- Represents African contribution to global AI advancement\n\n## Technical Specifications\n\n- **Vision Component**: Lisa ViT architecture with 384/768 embedding dimensions\n- **Audio Component**: Lisa transformer with CTC-based speech recognition\n- **Total Parameters**: ~6M (mini) / ~25M (full mode)\n- **Processing**: Real-time capable on standard hardware\n- **Deployment**: Docker and API ready\n\n## Intended Use\n\nLISA is designed for:\n- Educational applications and research\n- Multimodal content analysis\n- Real-time interactive systems\n- African language and cultural preservation\n- AI research and development in Africa\n\n## Ethical Considerations\n\nDeveloped with African values and global responsibility in mind:\n- Promotes inclusive AI development\n- Supports African technological advancement\n- Maintains ethical AI practices\n- Encourages responsible AI deployment\n ", | |
| "model_architecture": { | |
| "vision": { | |
| "type": "Lisa_vision_transformer", | |
| "patch_size": 16, | |
| "embedding_dim": "384/768", | |
| "num_layers": "6/12", | |
| "attention_heads": "6/12" | |
| }, | |
| "audio": { | |
| "type": "Lisa_audio_transformer", | |
| "sample_rate": 16000, | |
| "mel_features": 80, | |
| "embedding_dim": "256/512", | |
| "num_layers": "3/6" | |
| }, | |
| "fusion": { | |
| "type": "cross_attention", | |
| "strategy": "late_fusion", | |
| "temporal_sync": true | |
| } | |
| }, | |
| "training_details": { | |
| "training_framework": "PyTorch", | |
| "training_location": "Kenya, Africa", | |
| "training_team": "LISA Team", | |
| "architecture_design": "Built from scratch", | |
| "pretrained_base": null, | |
| "Lisa_implementation": true | |
| }, | |
| "evaluation_metrics": { | |
| "object_detection_map": "~65%", | |
| "speech_recognition_wer": "~15%", | |
| "sound_classification_acc": "~78%", | |
| "emotion_detection_f1": "~72%", | |
| "processing_fps": "~30 (vision), Real-time (audio)" | |
| }, | |
| "environmental_impact": { | |
| "carbon_footprint": "Optimized for efficiency", | |
| "computational_requirements": "Moderate", | |
| "deployment_efficiency": "High" | |
| } | |
| } |