Update README.md

Author: Pragya-19

README.md

@@ -1,25 +1,17 @@
 # 🧠 NLP Model Testing Framework (Python | Pytest | AI/ML QA)
+# 🧠 NLP Model Testing Framework (Python | Pytest | AI/ML QA)
 
 ![Python](https://img.shields.io/badge/Python-3.11-blue)
 ![Pytest](https://img.shields.io/badge/Pytest-Automation-green)
 ![NLP](https://img.shields.io/badge/NLP-Model--Testing-purple)
 ![ML QA](https://img.shields.io/badge/ML-QA-orange)
 ![Status](https://img.shields.io/badge/Status-Active-success)
 
----
-
 ## 🚀 Overview
 
-This project is a **NLP Model Testing Framework** designed to validate machine learning model behavior using **Python and Pytest**.
-
-Unlike traditional testing, this focuses on **AI/ML validation**, ensuring model predictions are:
+This project is an NLP Model Testing Framework designed to validate machine learning model behavior using Python and Pytest.
 
-✔ Correct  
-✔ Consistent  
-✔ Robust  
-✔ Edge-case safe  
-
----
+It focuses on AI/ML validation by checking whether predictions are correct, consistent, robust, and safe for edge cases.
 
 ## 🧠 What This Project Covers
 
@@ -29,74 +21,52 @@ Unlike traditional testing, this focuses on **AI/ML validation**, ensuring model
 - Edge Case Handling
 - Prediction Accuracy Validation
 
----
-
 ## 🛠 Tech Stack
 
 - Python
 - Pytest
-- CSV (Data-driven testing)
-- NLP Basics (Text Processing + Classification)
-
----
+- CSV
+- NLP Basics
 
 ## 📁 Project Structure
 
 
 NLP-Model-Testing-Framework-Python-Pytest/
 │
 ├── nlp_model/
-
-  │ ├── init.py
-  
-  │ ├── sentiment_model.py
-  
-  │ └── text_preprocessor.py
+│   ├── __init__.py
+│   ├── sentiment_model.py
+│   └── text_preprocessor.py
 │
 ├── tests/
-
-  │ ├── init.py
-  
-  │ ├── test_sentiment_prediction.py
-  
-  │ ├── test_text_preprocessing.py
-  
-  │ ├── test_edge_cases.py
-  
-  │ └── test_data_driven_sentiment.py
+│   ├── __init__.py
+│   ├── test_sentiment_prediction.py
+│   ├── test_text_preprocessing.py
+│   ├── test_edge_cases.py
+│   └── test_data_driven_sentiment.py
 │
 ├── test_data/
-
-  │ └── sentiment_test_data.csv
+│   └── sentiment_test_data.csv
+│
+├── screenshots/
+│   └── pytest-result.png
 │
 ├── requirements.txt
-
 └── README.md
 
+🧪 Test Scenarios Covered
 
----
-
-## 🧪 Test Scenarios Covered
-
-### 1️⃣ Sentiment Prediction Testing
-
-```python
+1. Sentiment Prediction Testing
 def test_positive_sentiment():
     assert predict_sentiment("I love this product") == "positive"
-
-2️⃣ Text Preprocessing
+2. Text Preprocessing Testing
 def test_text_cleaning():
     assert clean_text("HELLO!!!") == "hello"
-
-3️⃣ Edge Case Testing
+3. Edge Case Testing
 Empty input
 Numeric input
-Mixed case
-
-4️⃣ Data-Driven Testing
-
-CSV-based testing:
-
+Mixed case input
+4. Data-Driven Testing
 text,expected_sentiment
 I love this,positive
 This is bad,negative
@@ -110,19 +80,20 @@ python -m pytest -v
 
 📸 Screenshot
 
-🎯 What This Project Demonstrates
+![Test Results](screenshots/pytest-result.png)
 
-ML Model Testing Approach
-NLP Validation Techniques
-Data-driven QA Strategy
-Edge Case Handling in AI Systems
+🎯 What This Project Demonstrates
+ML model testing approach
+NLP validation techniques
+Data-driven QA strategy
+Edge case handling in AI systems
+Python + Pytest automation skills
 
 🚀 Future Enhancements
-
-Real ML model integration (Scikit-learn / HuggingFace)
-Model accuracy metrics validation
+Real ML model integration using Scikit-learn or HuggingFace
+Model accuracy metric validation
 Confusion matrix validation
-CI/CD integration (GitHub Actions)
+GitHub Actions CI pipeline
 
 👩‍💻 Author