Update all documentation and code references to new project name

- Updated CI/CD workflow to test new classifier class name
- Updated all documentation files (DEPLOYMENT.md, INSTALLATION.md, HOW_IT_WORKS.md, FEATURES.md, MVP-COMPLETE.md)
- Updated Python module docstrings to reflect intelligence spectrum
- Updated model_manager prompts to reference AI intelligence spectrum
- Updated tests/__init__.py to reflect new project name
- Updated advanced_analyzer.py docstring
- Updated reasoning_classifier.py docstring
- Updated ranker.py docstrings and comments

Generated with [Devin](https://cli.devin.ai/docs)

Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

.github/workflows/ci.yml

@@ -81,7 +81,7 @@ jobs:
     - name: Test app import
       run: |
         python -c "import app; print('App imports successfully')"
-        python -c "import classifier; print('Classifier imports successfully')"
+        python -c "from classifier import AIPapersIntelligenceClassifier; print('Classifier imports successfully')"
         python -c "import ranker; print('Ranker imports successfully')"
         python -c "import data_fetcher; print('Data fetcher imports successfully')"
         python -c "import model_manager; print('Model manager imports successfully')"

DEPLOYMENT.md

@@ -1,10 +1,10 @@
-# AGI/ASI Papers Analysis - Deployment Guide
+# AI Papers Intelligence Classifier - Deployment Guide
 
-This guide covers deployment options for the AGI/ASI Papers Analysis tool, including local deployment, cloud deployment, and Hugging Face Spaces.
+This guide covers deployment options for the AI Papers Intelligence Classifier tool, including local deployment, cloud deployment, and Hugging Face Spaces.
 
 ## 🎓 Educational Purpose
 
-This tool is created for educational purposes to demonstrate AGI/ASI research tracking and analysis deployment strategies.
+This tool is created for educational purposes to demonstrate AI research tracking and analysis deployment strategies across the intelligence spectrum.
 
 ## Deployment Options
 

FEATURES.md

@@ -1,10 +1,10 @@
-# AGI/ASI Papers Analysis - Feature Ideas and Enhancements
+# AI Papers Intelligence Classifier - Feature Ideas and Enhancements
 
-This document outlines potential future features and enhancements for the AGI/ASI Papers Analysis tool.
+This document outlines potential future features and enhancements for the AI Papers Intelligence Classifier tool.
 
 ## 🎓 Educational Purpose
 
-This tool is created for educational purposes to demonstrate AGI/ASI research tracking and analysis. These feature ideas represent potential learning opportunities and system improvements.
+This tool is created for educational purposes to demonstrate AI research tracking and analysis across the intelligence spectrum. These feature ideas represent potential learning opportunities and system improvements.
 
 ## Priority 1: Core Enhancements
 

HOW_IT_WORKS.md

@@ -1,10 +1,10 @@
-# AGI/ASI Papers Analysis - How It Works
+# AI Papers Intelligence Classifier - How It Works
 
-This guide explains the inner workings of the AGI/ASI Papers Analysis tool, from data fetching to visualization.
+This guide explains the inner workings of the AI Papers Intelligence Classifier tool, from data fetching to visualization.
 
 ## 🎓 Educational Purpose
 
-This tool is created for educational purposes to demonstrate how to build an AI-powered research analysis system.
+This tool is created for educational purposes to demonstrate how to build an AI-powered research analysis system across the intelligence spectrum.
 
 ## System Overview
 

INSTALLATION.md

@@ -1,10 +1,10 @@
-# AGI/ASI Papers Analysis - Installation Guide
+# AI Papers Intelligence Classifier - Installation Guide
 
-This guide will help you install and set up the AGI/ASI Papers Analysis tool on your local machine or development environment.
+This guide will help you install and set up the AI Papers Intelligence Classifier tool on your local machine or development environment.
 
 ## 🎓 Educational Purpose
 
-This tool is created for educational purposes to demonstrate AGI/ASI research tracking and analysis using modern AI techniques.
+This tool is created for educational purposes to demonstrate AI research tracking and analysis across the intelligence spectrum using modern AI techniques.
 
 ## Prerequisites
 

MVP-COMPLETE.md

@@ -1,8 +1,8 @@
-# AGI/ASI Papers Analysis - MVP Complete ✅
+# AI Papers Intelligence Classifier - MVP Complete ✅
 
 ## 🎉 **COMPLETE MVP BUILT SUCCESSFULLY!**
 
-I have built a complete, working MVP for the AGI/ASI Papers Analysis Space that analyzes AI papers from the AI-Papers-of-the-Week repository for AGI/ASI relevance.
+I have built a complete, working MVP for the AI Papers Intelligence Classifier that analyzes AI papers from the AI-Papers-of-the-Week repository across the intelligence spectrum.
 
 ## 📁 **Project Structure**
 

advanced_analyzer.py

@@ -1,6 +1,6 @@
 """
 Advanced Analysis Module
-Provides additional analysis features for AGI/ASI papers
+Provides additional analysis features for AI papers across the intelligence spectrum
 """
 
 from typing import Dict, List

model_manager.py

@@ -119,7 +119,7 @@ class ModelManager:
             },
             "deepseek": {
                 "name": "DeepSeek-R1",
-                "description": "DeepSeek-R1 with Chain of Thought reasoning for AGI/ASI/ACI classification",
+                "description": "DeepSeek-R1 with Chain of Thought reasoning for AI intelligence classification",
                 "requires_api_key": False,
                 "cost": "Free (Hugging Face Inference)",
                 "speed": "Medium",
@@ -231,7 +231,7 @@ class ModelManager:
             
             Provide:
             1. Semantic relevance score (0-100)
-            2. Key concepts related to AGI/ASI
+            2. Key concepts related to AI intelligence spectrum
             3. Brief reasoning
             
             Format as JSON with keys: semantic_relevance, key_concepts, reasoning
@@ -270,7 +270,7 @@ class ModelManager:
             
             Provide:
             1. Semantic relevance score (0-100)
-            2. Key concepts related to AGI/ASI
+            2. Key concepts related to AI intelligence spectrum
             3. Brief reasoning
             
             Format your response as JSON with keys: semantic_relevance, key_concepts, reasoning
@@ -303,7 +303,7 @@ class ModelManager:
             
             Provide:
             1. Semantic relevance score (0-100)
-            2. Key concepts related to AGI/ASI
+            2. Key concepts related to AI intelligence spectrum
             3. Brief reasoning
             
             Format as JSON with keys: semantic_relevance, key_concepts, reasoning
@@ -349,7 +349,7 @@ class ModelManager:
             
             Provide:
             1. Semantic relevance score (0-100)
-            2. Key concepts related to AGI/ASI
+            2. Key concepts related to AI intelligence spectrum
             3. Brief reasoning
             
             Format as JSON with keys: semantic_relevance, key_concepts, reasoning
@@ -392,7 +392,7 @@ class ModelManager:
             
             Provide:
             1. Semantic relevance score (0-100)
-            2. Key concepts related to AGI/ASI
+            2. Key concepts related to AI intelligence spectrum
             3. Brief reasoning
             
             Format your response as JSON with keys: semantic_relevance, key_concepts, reasoning
@@ -431,7 +431,7 @@ class ModelManager:
             
             Provide:
             1. Semantic relevance score (0-100)
-            2. Key concepts related to AGI/ASI
+            2. Key concepts related to AI intelligence spectrum
             3. Brief reasoning
             
             Format your response as JSON with keys: semantic_relevance, key_concepts, reasoning
@@ -466,7 +466,7 @@ class ModelManager:
             
             Provide:
             1. Semantic relevance score (0-100)
-            2. Key concepts related to AGI/ASI
+            2. Key concepts related to AI intelligence spectrum
             3. Brief reasoning
             
             Format as JSON with keys: semantic_relevance, key_concepts, reasoning
@@ -516,7 +516,7 @@ class ModelManager:
             
             Provide:
             1. Semantic relevance score (0-100)
-            2. Key concepts related to AGI/ASI
+            2. Key concepts related to AI intelligence spectrum
             3. Brief reasoning
             
             Format as JSON with keys: semantic_relevance, key_concepts, reasoning

ranker.py

@@ -1,18 +1,18 @@
 """
 Paper Ranking Module
-Ranks papers by relevance, impact, and novelty for AGI/ASI research
+Ranks papers by relevance, impact, and novelty for AI research across the intelligence spectrum
 """
 
 from typing import Dict, List
 
 
 class PaperRanker:
-    """Rank papers by multiple criteria for AGI/ASI relevance"""
+    """Rank papers by multiple criteria for AI research across the intelligence spectrum"""
     
     def __init__(self):
         # Weights for different ranking criteria
         self.weights = {
-            'relevance': 0.5,      # AGI/ASI relevance score
+            'relevance': 0.5,      # Intelligence spectrum relevance score
             'novelty': 0.3,        # Novelty/innovation potential
             'impact': 0.2         # Potential impact
         }

reasoning_classifier.py

@@ -1,6 +1,6 @@
 """
 Reasoning Classifier Module
-Uses DeepSeek-R1 with Chain of Thought for AGI/ASI/ACI/Narrow AI classification
+Uses DeepSeek-R1 with Chain of Thought for AI intelligence classification
 """
 
 import json

tests/__init__.py

@@ -1,3 +1,3 @@
 """
-Test suite for AGI/ASI Papers Analysis
+Test suite for AI Papers Intelligence Classifier
 """