Update README.md

README.md

@@ -4,4 +4,49 @@ language:
 - en
 base_model:
 - google/gemma-4-E2B-it
+tags:
+- gemma
+- gguf
+- multimodal
+- vision
+- wildlife-monitoring
+- quantized
+- audio
+- text
+---
+# EleGuard: Multimodal Elephant Detection & Reasoning
+
+**EleGuard** is a specialized, multimodal Vision-Language Model (VLM) developed for the **24/7 monitoring of elephant activity** in natural habitats. By leveraging infrared (IR) imagery and bioacoustic signals, EleGuard provides a robust solution for human-elephant conflict mitigation and wildlife conservation.
+
+## Model Summary
+*   **Distinct Project Name:** EleGuard
+*   **Base Architecture:** This model is a variant based on **Gemma 4 E2B**.
+*   **Modality:** Multimodal (Vision + Acoustic via Spectrograms).
+*   **Format:** GGUF (Optimized for edge deployment).
+*   **Training Method:** Knowledge Distillation from Gemini 3.1 Flash.
+
+## Technical Innovation: Reasoning Distillation
+The core breakthrough of EleGuard is the shift from simple classification to **expert reasoning**. Instead of training only on labels, the model was fine-tuned on "thought blocks" generated by a Teacher model (Gemini 3.1 Flash). 
+
+For every image or audio sample, the model is trained to explain its reasoning—such as identifying thermal signatures in thick brush or frequency patterns in a rumble—before outputting a final status:
+*   **🚨 ALERT:** Elephant presence confirmed.
+*   **✅ SAFE:** No threat detected.
+
+## Dataset Details
+The model was trained on a curated dataset of **2,600 samples** organized into:
+*   **Visual Imagery:** High-resolution daytime and **Infrared (IR)** forest captures.
+*   **Acoustic Data:** Mel Spectrograms identifying vocalizations like rumbles, roars, and trumpets.
+*   **Paired Expert Labels:** Detailed JSON reasoning files for every media asset.
+
+## Usage & Deployment
+This repository contains the model weights in **GGUF** format, specifically optimized for edge devices (Raspberry Pi, Jetson Nano, or standard laptops) using tools like `llama.cpp` or `Ollama`.
+
+### Required Files:
+1.  `EleGuard-gemma-4-e2b-it.GGUF` (Main model weights)
+2.  `EleGuard-gemma-4-e2b-it.mmproj.GGUF` (Multimodal vision projector)
+
+## Acknowledgments & Trademarks
+*   **Gemma is a trademark of Google LLC.**
+*   EleGuard is a model trained on a dataset based on Gemma 4 E2B.
+*   This project was developed for [The Gemma 4 Good Hackathon] using the Unsloth fine-tuning framework.
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