Spaces:
Sleeping
Sleeping
Update README.md
Browse files
README.md
CHANGED
|
@@ -33,7 +33,7 @@ short_description: Data-Driven Innovation for Aadhaar
|
|
| 33 |
|
| 34 |
## π― Overview
|
| 35 |
|
| 36 |
-
Project
|
| 37 |
|
| 38 |
### The Problem We Solve
|
| 39 |
|
|
@@ -108,13 +108,13 @@ pip install -r requirements.txt
|
|
| 108 |
|
| 109 |
3. **Run the Jupyter Notebook** (Data Processing)
|
| 110 |
```bash
|
| 111 |
-
jupyter notebook
|
| 112 |
```
|
| 113 |
This generates `analyzed_aadhaar_data.csv`
|
| 114 |
|
| 115 |
4. **Launch the Dashboard**
|
| 116 |
```bash
|
| 117 |
-
streamlit run
|
| 118 |
```
|
| 119 |
|
| 120 |
5. **Access the application**
|
|
@@ -131,12 +131,12 @@ UIDAI/
|
|
| 131 |
βββ README.md # This file
|
| 132 |
βββ requirements.txt # Python dependencies
|
| 133 |
βββ Dockerfile # Docker configuration
|
| 134 |
-
βββ
|
| 135 |
βββ app.py # Streamlit dashboard
|
| 136 |
βββ analyzed_aadhaar_data.csv # Processed data (generated from colab)
|
| 137 |
βββ docs/
|
| 138 |
-
β βββ
|
| 139 |
-
β βββ
|
| 140 |
β βββ Dashboard_Enhancements_Guide.docx
|
| 141 |
βββ assets/
|
| 142 |
βββ screenshots/ # Dashboard screenshots
|
|
@@ -276,10 +276,10 @@ RISK_CATEGORIES = {
|
|
| 276 |
### Docker Deployment
|
| 277 |
```bash
|
| 278 |
# Build image
|
| 279 |
-
docker build -t
|
| 280 |
|
| 281 |
# Run container
|
| 282 |
-
docker run -p 8501:8501
|
| 283 |
```
|
| 284 |
|
| 285 |
### Hugging Face Spaces
|
|
|
|
| 33 |
|
| 34 |
## π― Overview
|
| 35 |
|
| 36 |
+
Project S.T.A.R.K is an innovative fraud detection system designed specifically for UIDAI Aadhaar enrolment centers. Unlike traditional global threshold-based systems, Sentinel uses **context-aware machine learning** with district-level normalization to identify fraudulent patterns while accounting for India's demographic diversity.
|
| 37 |
|
| 38 |
### The Problem We Solve
|
| 39 |
|
|
|
|
| 108 |
|
| 109 |
3. **Run the Jupyter Notebook** (Data Processing)
|
| 110 |
```bash
|
| 111 |
+
jupyter notebook project_stark_notebook.ipynb
|
| 112 |
```
|
| 113 |
This generates `analyzed_aadhaar_data.csv`
|
| 114 |
|
| 115 |
4. **Launch the Dashboard**
|
| 116 |
```bash
|
| 117 |
+
streamlit run app.py
|
| 118 |
```
|
| 119 |
|
| 120 |
5. **Access the application**
|
|
|
|
| 131 |
βββ README.md # This file
|
| 132 |
βββ requirements.txt # Python dependencies
|
| 133 |
βββ Dockerfile # Docker configuration
|
| 134 |
+
βββ project_stark_notebook.ipynb # ML model & data processing
|
| 135 |
βββ app.py # Streamlit dashboard
|
| 136 |
βββ analyzed_aadhaar_data.csv # Processed data (generated from colab)
|
| 137 |
βββ docs/
|
| 138 |
+
β βββ Project_Stark_Analysis.docx
|
| 139 |
+
β βββ Stark_Dashboard_Documentation.docx
|
| 140 |
β βββ Dashboard_Enhancements_Guide.docx
|
| 141 |
βββ assets/
|
| 142 |
βββ screenshots/ # Dashboard screenshots
|
|
|
|
| 276 |
### Docker Deployment
|
| 277 |
```bash
|
| 278 |
# Build image
|
| 279 |
+
docker build -t app .
|
| 280 |
|
| 281 |
# Run container
|
| 282 |
+
docker run -p 8501:8501 app
|
| 283 |
```
|
| 284 |
|
| 285 |
### Hugging Face Spaces
|