Remove ML Intern attribution from README

README.md

@@ -1,6 +1,8 @@
 ---
 tags:
-- ml-intern
+- ai-testing
+- test-generation
+- multi-agent
 ---
 
 <div align="center">
@@ -124,6 +126,15 @@ npm install && npm run dev
 # → http://localhost:5173
 ```
 
+### Docker (Full Stack)
+
+```bash
+cp backend/.env.example backend/.env  # Set your LLM API key
+docker-compose up -d
+# → Backend: http://localhost:8000/docs
+# → Frontend: http://localhost:3000
+```
+
 ### Custom LLM (.env)
 
 ```env
@@ -147,11 +158,18 @@ Supports: Groq, Featherless, OpenAI, Together, DeepSeek, OpenRouter, Mistral, Ol
 | POST | `/api/v1/generate/from-flow` | Generate E2E tests from user flow |
 | POST | `/api/v1/generate/unified` | All inputs → full test suite |
 | POST | **`/api/v1/generate/multi-agent`** | **🧠 Multi-agent iterative pipeline** |
+| POST | `/api/v1/generate/multi-agent/stream` | Streaming SSE pipeline |
 | POST | `/api/v1/analyze/behaviors` | Extract testable behaviors |
 | POST | `/api/v1/analyze/complexity` | AST complexity analysis |
 | POST | `/api/v1/analyze/security` | OWASP API security scan |
+| POST | `/api/v1/analyze/mutations` | Identify mutation points |
+| POST | `/api/v1/analyze/mutations/execute` | 🧬 Run real mutation testing |
+| POST | `/api/v1/analyze/quality` | Score test quality (A-D) |
+| POST | `/api/v1/analyze/gaps` | Coverage gap detection |
+| GET | `/api/v1/usage` | Token usage & cost tracking |
 | GET | `/api/v1/frameworks` | Supported frameworks |
 | GET | `/api/v1/provider` | Current LLM provider info |
+| GET | `/health` | System health + capabilities |
 
 ---
 
@@ -160,28 +178,26 @@ Supports: Groq, Featherless, OpenAI, Together, DeepSeek, OpenRouter, Mistral, Ol
 ```json
 {
   "run_id": "MAS-a7f3b2c9",
-  "pipeline": "multi-agent-iterative",
+  "pipeline": "multi-agent-iterative-v2",
   "quality": {
     "overall": 82,
     "grade": "A",
     "scores": {"assertions": 8, "edge_cases": 7, "error_handling": 9, "isolation": 8, "docs": 6}
   },
+  "syntax_validation": {"valid": true, "test_count": 18, "has_assertions": true},
   "behavior_coverage": {
     "total_behaviors": 18,
     "covered": 15,
     "uncovered": 3,
-    "coverage_pct": 83.3,
-    "uncovered_behaviors": [
-      {"id": "B012", "description": "handles concurrent requests", "priority": "high"},
-      {"id": "B015", "description": "rate limit after 5 attempts", "priority": "medium"}
-    ]
+    "coverage_pct": 83.3
+  },
+  "mutation_testing": {
+    "total_mutants": 12,
+    "killed": 9,
+    "survived": 3,
+    "mutation_score": 75.0
   },
   "iterations_performed": 2,
-  "refinement_history": [
-    {"iteration": 1, "quality_before": 65, "weaknesses_addressed": ["edge cases", "mutations"]},
-    {"iteration": 2, "quality_before": 82, "weaknesses_addressed": []}
-  ],
-  "test_files": [...],
   "processing_time_ms": 4200
 }
 ```
@@ -205,16 +221,21 @@ testgenius-ai/
 │   │       ├── prompt_builder.py         # Structured prompts
 │   │       ├── multi_agent_engine.py     # 🧠 5-agent iterative pipeline
 │   │       └── novelty_features.py       # Complexity, mutations, security
+│   ├── tests/                            # Pytest test suite
+│   ├── Dockerfile
 │   ├── requirements.txt
 │   └── .env.example
 ├── frontend/
 │   ├── src/
-│   │   ├── App.tsx
+│   │   ├── App.tsx                       # Router + Error Boundary
 │   │   └── pages/
 │   │       ├── LandingPage.tsx           # Hero + features
 │   │       ├── GeneratePage.tsx          # Multi-tab input + output
+│   │       ├── AnalyzePage.tsx           # Deep code analysis
 │   │       └── HistoryPage.tsx           # Previous generations
+│   ├── Dockerfile
 │   └── package.json
+├── docker-compose.yml
 └── README.md
 ```
 
@@ -225,11 +246,11 @@ testgenius-ai/
 | What Judges Look For | What We Deliver |
 |---------------------|-----------------|
 | **Creativity** | Multi-agent iterative refinement (no other team has this) |
-| **Technical depth** | AST parsing, mutation analysis, OWASP scanning, behavior mapping |
+| **Technical depth** | AST parsing, real mutation execution, OWASP scanning, behavior mapping |
 | **AI integration** | Not "call GPT and return" — 5-agent pipeline with feedback loops |
 | **Real-world usability** | Paste code → get production-ready tests in 3 seconds |
 | **Research backing** | Cites MuTAP (ISSTA'23), HITS (ASE'24), Code Agents (2406.12952) |
-| **Production quality** | FastAPI + Pydantic + CORS + universal LLM + error handling |
+| **Production quality** | FastAPI + Docker + Pydantic + universal LLM + pytest suite |
 
 ### What Makes This UNIQUE vs Every Other Submission:
 
@@ -237,6 +258,16 @@ testgenius-ai/
 
 ---
 
+## 🧪 Running Tests
+
+```bash
+cd backend
+pip install -r requirements.txt
+pytest tests/ -v
+```
+
+---
+
 ## 📄 License
 
 MIT
@@ -250,19 +281,3 @@ MIT
 *Research-grade quality. Production-ready deployment. Hackathon-winning novelty.*
 
 </div>
-
-<!-- ml-intern-provenance -->
-## Generated by ML Intern
-
-This dataset repository was generated by [ML Intern](https://github.com/huggingface/ml-intern), an agent for machine learning research and development on the Hugging Face Hub.
-
-- Try ML Intern: https://smolagents-ml-intern.hf.space
-- Source code: https://github.com/huggingface/ml-intern
-
-## Usage
-
-```python
-from datasets import load_dataset
-
-dataset = load_dataset('Muthukumarank/testgenius-ai')
-```