updated the title

README.md

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-title: AnomalyVision Trainer
+title: Anomaly Vision Agent
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 app_file: app.py
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-🌐 **Live Demo**: [Click here to try the app](https://huggingface.co/spaces/GeetaAIVisionary/SentinelAISurveillanceAnomalyDetection)
 
+🌐 **Live Demo**: [Click here to try the Anomaly Vision Agent](https://huggingface.co/spaces/GeetaAIVisionary/SentinelAISurveillanceAnomalyDetection)
 
-# 🧠 AnomalyVision Trainer
+# 🧠 Anomaly Vision Agent
 
-AnomalyVision Trainer is an AI-powered agent that classifies surveillance event descriptions into meaningful categories like **Normal Activity** or **Suspicious Behavior**.
+**Anomaly Vision Agent** is an AI-powered surveillance intelligence agent that classifies natural-language descriptions of video surveillance events into meaningful categories like **Normal Activity** or **Suspicious Behavior**.
 
-This project uses Hugging Face Transformers and Gradio to provide a simple web UI that security analysts or field operators can use to assess behavioral anomalies from text inputs.
+This project uses Hugging Face Transformers and Gradio to provide a lightweight, human-friendly assistant that **simulates how a field security analyst might evaluate real-world behavior**.
 
 ## 🔍 Example Use Cases
 - “A person is standing at the emergency exit for 20 minutes” → Suspicious
-- “A janitor is mopping the hallway” → Normal
+- “A janitor is cleaning the hallway during scheduled maintenance” → Normal
 - “An unknown bag left near gate 4” → Suspicious
 
 ## 🚀 Tech Stack
 - Hugging Face Transformers (`distilbert-base-uncased-finetuned-sst-2-english`)
 - Gradio UI
 - Python + Torch
+- Semantic logic override for false positives
 
-## 📦 Run Locally
-```bash
-pip install -r requirements.txt
-python app.py
+## ✨ Created by Geeta Kudumula to demonstrate intelligent surveillance analysis for platforms like **Vaidio** and other AI vision solutions.