chore: rename SafeVisionAI to SafeVixAI across dataset hub

README.md

@@ -13,16 +13,16 @@ tags:
   - traffic-law
   - geospatial
   - rag
-pretty_name: SafeVisionAI Dataset Hub
+pretty_name: SafeVixAI Dataset Hub
 size_categories:
   - 1B<n<10B
 ---
 
-# SafeVisionAI Dataset Hub 🛡️
+# SafeVixAI Dataset Hub 🛡️
 
-> The **Intelligence Layer** for the SafeVisionAI platform — IIT Madras Road Safety Hackathon 2026
+> The **Intelligence Layer** for the SafeVixAI platform — IIT Madras Road Safety Hackathon 2026
 
-This repository hosts all datasets, pre-trained models, notebooks, and **reproducible data acquisition scripts** that power the SafeVisionAI application. It is designed to be cloned directly into Google Colab or any research environment.
+This repository hosts all datasets, pre-trained models, notebooks, and **reproducible data acquisition scripts** that power the SafeVixAI application. It is designed to be cloned directly into Google Colab or any research environment.
 
 **Main Application Repo:** [SafeVision-AI/SafeVision-AI](https://github.com/SafeVision-AI/SafeVision-AI)
 
@@ -32,12 +32,12 @@ This repository hosts all datasets, pre-trained models, notebooks, and **reprodu
 
 ```python
 # Clone the entire intelligence layer
-!git clone https://huggingface.co/datasets/rohith083/SafeVisionAI-Dataset-Hub /content/data
+!git clone https://huggingface.co/datasets/rohith083/SafeVixAI-Dataset-Hub /content/data
 
 # Symlink into the app structure
 import os
-os.makedirs("/content/SafeVisionAI/chatbot_service", exist_ok=True)
-!ln -sfn /content/data/data/chatbot_service/data /content/SafeVisionAI/chatbot_service/data
+os.makedirs("/content/SafeVixAI/chatbot_service", exist_ok=True)
+!ln -sfn /content/data/data/chatbot_service/data /content/SafeVixAI/chatbot_service/data
 ```
 
 ---
@@ -45,7 +45,7 @@ os.makedirs("/content/SafeVisionAI/chatbot_service", exist_ok=True)
 ## 📦 Repository Structure
 
 ```
-SafeVisionAI-Dataset-Hub/
+SafeVixAI-Dataset-Hub/
 ├── data/                         ← 3.6 GB of raw intelligence data
 │   ├── chatbot_service/data/     ← Legal PDFs, GIS CSVs, accident data, models
 │   └── backend/datasets/         ← Challan rules, road infrastructure
@@ -82,7 +82,7 @@ All scripts here are **pure Python** — they run without any database or backen
 
 ```
 scripts/
-├── scripts/data/             ← from SafeVisionAI/scripts/data/
+├── scripts/data/             ← from SafeVixAI/scripts/data/
 │   ├── _overpass_utils.py    ← Core GIS utility (basic version)
 │   ├── fetch_hospitals.py    ← Hospital data from OpenStreetMap
 │   ├── fetch_police.py       ← Police station data
@@ -99,14 +99,14 @@ scripts/
 │   ├── check_all_scripts.py  ← Script syntax validator
 │   └── setup_kaggle.ps1      ← Kaggle API auth setup
 │
-├── backend/data/             ← from SafeVisionAI/backend/scripts/data/
+├── backend/data/             ← from SafeVixAI/backend/scripts/data/
 │   ├── seed_violations.py    ← Traffic fine normalizer (MVA 2019)
 │   ├── prepare_road_sources.py ← CSV/GeoJSON → LineString converter
 │   ├── sample_pmgsy.py       ← PMGSY 867K roads sampler
 │   ├── road_sources.example.json ← Manifest template
 │   └── road_sources.json     ← Active road source manifest
 │
-└── chatbot_service/data/     ← from SafeVisionAI/chatbot_service/scripts/data/
+└── chatbot_service/data/     ← from SafeVixAI/chatbot_service/scripts/data/
     ├── _overpass_utils.py    ← Pro GIS utility (with retries + backoff)
     ├── fetch_hospitals.py    ← Pro hospital fetcher
     ├── fetch_police.py       ← Pro police fetcher

data/chatbot_service/data/legal/motor_vehicles_act_1988_summary.txt

@@ -386,5 +386,5 @@ For the complete text: https://indiacode.nic.in
 For official notifications: https://morth.nic.in
 For traffic violation information: https://parivahan.gov.in/echallan
 
-This summary is intended for the RoadSoS RAG knowledge base to answer user queries about traffic laws and road safety regulations in India.
+This summary is intended for the SafeVixAI RAG knowledge base to answer user queries about traffic laws and road safety regulations in India.
 """

notebooks/ChromaDB_RAG_Vectorstore_Build_chatbot_service_data_chroma_db_2.ipynb

@@ -11,7 +11,7 @@
         "\n",
         "**Output:** `chroma_db/` directory -> deployed to `chatbot_service/data/chroma_db/`\n",
         "\n",
-        "This notebook builds the **Retrieval-Augmented Generation (RAG)** knowledge base for the SafeVisionAI chatbot.\n",
+        "This notebook builds the **Retrieval-Augmented Generation (RAG)** knowledge base for the SafeVixAI chatbot.\n",
         "It ingests Indian legal documents and first-aid medical PDFs, chunks them, embeds them, and stores them in a **ChromaDB** vector store.\n",
         "\n",
         "---\n",

notebooks/README.md

@@ -1,6 +1,6 @@
-# SafeVisionAI — Research Notebooks 📓
+# SafeVixAI — Research Notebooks 📓
 
-These notebooks are the **research and training layer** of SafeVisionAI. Each one processes raw data from the Hub and produces a model, index, or processed dataset used by the live application.
+These notebooks are the **research and training layer** of SafeVixAI. Each one processes raw data from the Hub and produces a model, index, or processed dataset used by the live application.
 
 ---
 
@@ -10,7 +10,7 @@ Run this at the top of **any** notebook to mount the full dataset:
 
 ```python
 # Step 1 — Clone the Hub (only run once per session)
-!git clone https://huggingface.co/datasets/rohith083/SafeVisionAI-Dataset-Hub /content/hub
+!git clone https://huggingface.co/datasets/rohith083/SafeVixAI-Dataset-Hub /content/hub
 
 # Step 2 — Install dependencies
 !pip install -q pdfplumber chromadb sentence-transformers ultralytics onnx
@@ -76,11 +76,11 @@ import os
 os.environ["HUGGING_FACE_TOKEN"] = "your_token_here"
 
 !cd /content/hub && git config user.email "you@example.com"
-!cd /content/hub && git config user.name "SafeVisionAI"
+!cd /content/hub && git config user.name "SafeVixAI"
 !cd /content/hub && git add . && git commit -m "chore: update trained model outputs"
-!cd /content/hub && git push https://your_username:$HUGGING_FACE_TOKEN@huggingface.co/datasets/rohith083/SafeVisionAI-Dataset-Hub main
+!cd /content/hub && git push https://your_username:$HUGGING_FACE_TOKEN@huggingface.co/datasets/rohith083/SafeVixAI-Dataset-Hub main
 ```
 
 ---
 
-*Part of the [SafeVisionAI](https://github.com/SafeVision-AI/SafeVision-AI) — IIT Madras Road Safety Hackathon 2026*
+*Part of the [SafeVixAI](https://github.com/SafeVision-AI/SafeVision-AI) — IIT Madras Road Safety Hackathon 2026*

notebooks/Risk_Model_ONNX_Training_frontend_public_models_5.ipynb

@@ -26,7 +26,7 @@
         "### Pipeline\n",
         "Synthetic data generation -> GBM training -> ONNX conversion -> Download\n",
         "\n",
-        "> The model runs entirely client-side in the SafeVisionAI PWA using onnxruntime-web."
+        "> The model runs entirely client-side in the SafeVixAI PWA using onnxruntime-web."
       ]
     },
     {

notebooks/Roads_Data_Processing_backend_data_4.ipynb

@@ -9,7 +9,7 @@
         "**Output:** `toll_plazas_lite.json` -> deployed to `backend/data/roads/`\n",
         "\n",
         "This notebook processes the **NHAI Toll Plaza dataset** to produce a lightweight JSON\n",
-        "suitable for the SafeVisionAI backend API and offline PWA map layer.\n",
+        "suitable for the SafeVixAI backend API and offline PWA map layer.\n",
         "\n",
         "---\n",
         "### Dataset\n",

requirements.txt

@@ -1,4 +1,4 @@
-# SafeVisionAI Dataset Hub — Script Dependencies
+# SafeVixAI Dataset Hub — Script Dependencies
 # Install with: pip install -r requirements.txt
 
 # ── Core (all scripts) ────────────────────────────────────────

scripts/README.md

@@ -1,9 +1,9 @@
-# SafeVisionAI — Data Acquisition Scripts 🔬
+# SafeVixAI — Data Acquisition Scripts 🔬
 
-These scripts are the **raw data pipeline** that built the 3.6GB SafeVisionAI dataset.
+These scripts are the **raw data pipeline** that built the 3.6GB SafeVixAI dataset.
 All scripts here are **pure Python** — they require no database, no Redis, no PostGIS.
 
-> Scripts are mirrored from the [SafeVisionAI main repo](https://github.com/SafeVision-AI/SafeVision-AI) and organized by their origin folder.
+> Scripts are mirrored from the [SafeVixAI main repo](https://github.com/SafeVision-AI/SafeVision-AI) and organized by their origin folder.
 
 ---
 
@@ -11,7 +11,7 @@ All scripts here are **pure Python** — they require no database, no Redis, no
 
 ```
 scripts/
-├── scripts/data/             ← from SafeVisionAI/scripts/data/
+├── scripts/data/             ← from SafeVixAI/scripts/data/
 │   ├── fetch_*.py            ← Overpass GIS fetchers (basic version)
 │   ├── _overpass_utils.py    ← Core GIS utility
 │   ├── download_legal_pdfs.py
@@ -24,13 +24,13 @@ scripts/
 │   ├── check_all_scripts.py
 │   └── setup_kaggle.ps1
 │
-├── backend/data/             ← from SafeVisionAI/backend/scripts/data/
+├── backend/data/             ← from SafeVixAI/backend/scripts/data/
 │   ├── seed_violations.py    ← MVA 2019 traffic fine normalizer
 │   ├── prepare_road_sources.py
 │   ├── sample_pmgsy.py
 │   └── road_sources.example.json
 │
-└── chatbot_service/data/     ← from SafeVisionAI/chatbot_service/scripts/data/
+└── chatbot_service/data/     ← from SafeVixAI/chatbot_service/scripts/data/
     ├── _overpass_utils.py    ← ⭐ Pro version (retries + backoff)
     └── fetch_*.py            ← ⭐ Pro fetchers (use these over scripts/data/)
 ```

scripts/backend/data/prepare_road_sources.py

@@ -25,7 +25,7 @@ import json
 import sys
 from pathlib import Path
 
-ROOT = Path(__file__).resolve().parents[1]          # SafeVisionAI/backend/
+ROOT = Path(__file__).resolve().parents[1]          # SafeVixAI/backend/
 CHATBOT_DATA = ROOT.parent / "chatbot_service" / "data"
 OUT_DIR = ROOT / "datasets" / "roads"
 OUT_DIR.mkdir(parents=True, exist_ok=True)

scripts/backend/data/road_sources.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b0a729760cda438188c0c7f10f82e16ea5ce04aa83d71f48fc80ae64c6468c62
-size 731
+oid sha256:0fab7e082337cf00095f344c3636dabf47e25f2993db379567f53310cd2b6e43
+size 725

scripts/chatbot_service/data/_overpass_utils.py

@@ -20,7 +20,7 @@ DEFAULT_ENDPOINTS = (
 )
 DEFAULT_HEADERS = {
     'Content-Type': 'application/x-www-form-urlencoded; charset=utf-8',
-    'User-Agent': 'SafeVisionAI chatbot data fetcher/1.0',
+    'User-Agent': 'SafeVixAI chatbot data fetcher/1.0',
 }
 CSV_COLUMNS = [
     'name',

scripts/scripts/data/_overpass_utils.py

@@ -16,7 +16,7 @@ DEFAULT_ENDPOINTS = (
 )
 DEFAULT_HEADERS = {
     'Content-Type': 'application/x-www-form-urlencoded; charset=utf-8',
-    'User-Agent': 'SafeVisionAI bootstrap scripts/1.0',
+    'User-Agent': 'SafeVixAI bootstrap scripts/1.0',
 }
 CSV_COLUMNS = [
     'osm_id',

scripts/scripts/data/download_legal_pdfs.py

@@ -80,7 +80,7 @@ def download_first_working(sources: list[str], destination: Path) -> bool:
             req = urllib.request.Request(
                 url,
                 headers={
-                    "User-Agent": "Mozilla/5.0 (RoadSoS-DataPipeline/1.0; +https://github.com)"
+                    "User-Agent": "Mozilla/5.0 (SafeVixAI-DataPipeline/1.0; +https://github.com)"
                 },
             )
             with urllib.request.urlopen(req, timeout=60) as response: