Update app.py

app.py

@@ -24,7 +24,7 @@ SYSTEM_PROMPT = (
 )
 
 # Define learning paths
-{
+LEARNING_PATHS = {
     "python_beginner": {
         "title": "Python Fundamentals",
         "description": "Learn Python basics from variables to functions",
@@ -103,378 +103,104 @@ SYSTEM_PROMPT = (
         ]
     }
 }
+
 # Learning resources
 LEARNING_RESOURCES = {
-    "Visual": {
-        "python_beginner": [
-            {"title": "Python Crash Course Visual Guide", "url": "https://nostarch.com/pythoncrashcourse2e"},
-            {"title": "Video Course: Python for Everybody", "url": "https://www.py4e.com/"},
-            {"title": "Python Visualizations and Infographics", "url": "https://python-graph-gallery.com/"},
-            {"title": "Visual Studio Code Python Tutorial", "url": "https://code.visualstudio.com/docs/python/python-tutorial"}
-        ],
-        "python_intermediate": [
-            {"title": "Fluent Python with Visual Examples", "url": "https://www.oreilly.com/library/view/fluent-python-2nd/9781492056348/"},
-            {"title": "Python Design Patterns Visualized", "url": "https://refactoring.guru/design-patterns/python"},
-            {"title": "Interactive Python Visualizer", "url": "https://pythontutor.com/"},
-            {"title": "Visual Guide to Python Testing", "url": "https://pragprog.com/titles/bopytest/python-testing-with-pytest/"}
-        ],
-        "data_science_beginner": [
-            {"title": "Data Visualization with Python and Seaborn", "url": "https://seaborn.pydata.org/tutorial.html"},
-            {"title": "Kaggle Learn: Data Visualization", "url": "https://www.kaggle.com/learn/data-visualization"},
-            {"title": "DataCamp Python Data Visualization", "url": "https://www.datacamp.com/courses/introduction-to-data-visualization-with-python"},
-            {"title": "Plotly Python Graphing Library", "url": "https://plotly.com/python/"}
-        ],
-        "data_science_advanced": [
-            {"title": "Visualization in Machine Learning", "url": "https://machinelearningmastery.com/data-visualization-for-machine-learning/"},
-            {"title": "Visual Hands-On Machine Learning", "url": "https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/"},
-            {"title": "Stanford ML: Visual Guide to Neural Networks", "url": "https://see.stanford.edu/Course/CS229"},
-            {"title": "Animated ML Algorithm Visualizations", "url": "https://www.youtube.com/c/3blue1brown"}
-        ],
-        "ai_specialization": [
-            {"title": "DeepLearning.AI Video Courses", "url": "https://www.deeplearning.ai/"},
-            {"title": "TensorFlow Playground", "url": "https://playground.tensorflow.org/"},
-            {"title": "Visual Guide to Neural Networks", "url": "https://pytorch.org/tutorials/"},
-            {"title": "GANs Explained Visually", "url": "https://poloclub.github.io/ganlab/"}
-        ],
-        "generative_ai": [
-            {"title": "Visualizing Large Language Models", "url": "https://karpathy.ai/zero-to-hero.html"},
-            {"title": "Diffusion Models Visual Guide", "url": "https://huggingface.co/learn/diffusion-models/"},
-            {"title": "Visual Prompt Engineering Guide", "url": "https://www.promptingguide.ai/"},
-            {"title": "Stable Diffusion Visual Tutorial", "url": "https://stability.ai/learn"}
-        ],
-        "agentic_ai": [
-            {"title": "Visual Guide to LangChain", "url": "https://python.langchain.com/docs/get_started/introduction"},
-            {"title": "Illustrated AutoGen Guide", "url": "https://microsoft.github.io/autogen/"},
-            {"title": "Visual Multi-Agent Simulations", "url": "https://www.anthropic.com/research/debate"},
-            {"title": "Animated Reinforcement Learning", "url": "https://rail.eecs.berkeley.edu/deeprlcourse/"}
-        ]
-    },
-    "Reading/Writing": {
-        "python_beginner": [
-            {"title": "Python Documentation", "url": "https://docs.python.org/3/"},
-            {"title": "Real Python Text Tutorials", "url": "https://realpython.com/"},
-            {"title": "Automate the Boring Stuff with Python", "url": "https://automatetheboringstuff.com/"},
-            {"title": "Think Python (Free eBook)", "url": "https://greenteapress.com/wp/think-python-2e/"}
-        ],
-        "python_intermediate": [
-            {"title": "Fluent Python (Book)", "url": "https://www.oreilly.com/library/view/fluent-python-2nd/9781492056348/"},
-            {"title": "Effective Python (Book)", "url": "https://effectivepython.com/"},
-            {"title": "Python Cookbook (Book)", "url": "https://www.oreilly.com/library/view/python-cookbook-3rd/9781449357337/"},
-            {"title": "Full Stack Python (Text Tutorials)", "url": "https://www.fullstackpython.com/"}
-        ],
-        "data_science_beginner": [
-            {"title": "Python Data Science Handbook", "url": "https://jakevdp.github.io/PythonDataScienceHandbook/"},
-            {"title": "Towards Data Science (Articles)", "url": "https://towardsdatascience.com/"},
-            {"title": "Introduction to Statistical Learning", "url": "https://www.statlearning.com/"},
-            {"title": "Data Science from Scratch (Book)", "url": "https://www.oreilly.com/library/view/data-science-from/9781492041122/"}
-        ],
-        "data_science_advanced": [
-            {"title": "Machine Learning Mastery (Text Tutorials)", "url": "https://machinelearningmastery.com/"},
-            {"title": "Deep Learning Book", "url": "https://www.deeplearningbook.org/"},
-            {"title": "Elements of Statistical Learning", "url": "https://web.stanford.edu/~hastie/ElemStatLearn/"},
-            {"title": "Dive into Deep Learning", "url": "https://d2l.ai/"}
-        ],
-        "ai_specialization": [
-            {"title": "Artificial Intelligence: A Modern Approach", "url": "http://aima.cs.berkeley.edu/"},
-            {"title": "Deep Learning (Book)", "url": "https://www.deeplearningbook.org/"},
-            {"title": "Stanford ML Course Notes", "url": "https://see.stanford.edu/Course/CS229"},
-            {"title": "ArXiv Machine Learning Papers", "url": "https://arxiv.org/list/cs.LG/recent"}
-        ],
-        "generative_ai": [
-            {"title": "LLM Introduction Paper", "url": "https://arxiv.org/abs/2303.18223"},
-            {"title": "Generative AI Guide (eBook)", "url": "https://www.oreilly.com/library/view/generative-deep-learning/9781492041931/"},
-            {"title": "Prompt Engineering Guide", "url": "https://www.promptingguide.ai/"},
-            {"title": "Stanford CS324: LLM Course Notes", "url": "https://stanford-cs324.github.io/winter2022/"}
-        ],
-        "agentic_ai": [
-            {"title": "LangChain Documentation", "url": "https://python.langchain.com/docs/get_started/introduction"},
-            {"title": "Agentic AI Papers Collection", "url": "https://arxiv.org/abs/2304.03442"},
-            {"title": "Multi-Agent Debate Research", "url": "https://www.anthropic.com/research/debate"},
-            {"title": "Reinforcement Learning: An Introduction", "url": "http://incompleteideas.net/book/the-book-2nd.html"}
-        ]
-    },
-    "Hands-on Projects": {
-        "python_beginner": [
-            {"title": "Project-Based Python Tutorial", "url": "https://projectbasedpython.com/"},
-            {"title": "Exercism: Python Track", "url": "https://exercism.org/tracks/python"},
-            {"title": "Python Project Ideas with Code", "url": "https://github.com/topics/python-projects"},
-            {"title": "Build 5 Mini Python Projects", "url": "https://www.freecodecamp.org/news/python-projects-for-beginners/"}
-        ],
-        "python_intermediate": [
-            {"title": "Django Project Tutorial", "url": "https://docs.djangoproject.com/en/stable/intro/tutorial01/"},
-            {"title": "Flask Mega-Tutorial", "url": "https://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-i-hello-world"},
-            {"title": "Python Project Cookbook", "url": "https://pythonprojectcookbook.com/"},
-            {"title": "Real-world Python Projects", "url": "https://realpython.com/tutorials/projects/"}
-        ],
-        "data_science_beginner": [
-            {"title": "Kaggle: Intro to Machine Learning", "url": "https://www.kaggle.com/learn/intro-to-machine-learning"},
-            {"title": "Data Science Projects with Python", "url": "https://github.com/PacktPublishing/Data-Science-Projects-with-Python"},
-            {"title": "DataCamp Projects", "url": "https://www.datacamp.com/projects"},
-            {"title": "Practical Data Analysis Projects", "url": "https://www.dataquest.io/data-science-projects/"}
-        ],
-        "data_science_advanced": [
-            {"title": "Applied Machine Learning Projects", "url": "https://github.com/practical-tutorials/project-based-learning#python"},
-            {"title": "Kaggle Competitions", "url": "https://www.kaggle.com/competitions"},
-            {"title": "Building ML Pipelines", "url": "https://www.oreilly.com/library/view/building-machine-learning/9781492053187/"},
-            {"title": "ML Project Walkthroughs", "url": "https://machinelearningmastery.com/start-here/#projects"}
-        ],
-        "ai_specialization": [
-            {"title": "TensorFlow Tutorials & Projects", "url": "https://www.tensorflow.org/tutorials"},
-            {"title": "PyTorch Projects Collection", "url": "https://pytorch.org/tutorials/beginner/pytorch_with_examples.html"},
-            {"title": "Hugging Face Project Walkthroughs", "url": "https://huggingface.co/learn"},
-            {"title": "Computer Vision Projects", "url": "https://www.pyimagesearch.com/"}
-        ],
-        "generative_ai": [
-            {"title": "Build Your Own LLM Application", "url": "https://buildyourowngpt.com/"},
-            {"title": "Generative Art Projects", "url": "https://genart.tech/"},
-            {"title": "LangChain Project Tutorials", "url": "https://python.langchain.com/docs/get_started/introduction"},
-            {"title": "Fine-tuning LLMs: Hands-on Guide", "url": "https://huggingface.co/blog/how-to-train"}
-        ],
-        "agentic_ai": [
-            {"title": "Build an AI Agent with LangChain", "url": "https://python.langchain.com/docs/use_cases/autonomous_agents"},
-            {"title": "AutoGen Projects", "url": "https://microsoft.github.io/autogen/docs/examples/"},
-            {"title": "Building Autonomous AI Systems", "url": "https://github.com/yoheinakajima/babyagi"},
-            {"title": "Tool-using AI Projects", "url": "https://github.com/hwchase17/langchain-experiments"}
-        ]
-    },
-    "Video Tutorials": {
-        "python_beginner": [
-            {"title": "Python Full Course for Beginners", "url": "https://www.youtube.com/watch?v=_uQrJ0TkZlc"},
-            {"title": "CS50's Introduction to Programming with Python", "url": "https://cs50.harvard.edu/python/"},
-            {"title": "Python Tutorial - Python for Beginners", "url": "https://www.youtube.com/watch?v=_uQrJ0TkZlc"},
-            {"title": "freeCodeCamp Python Course", "url": "https://www.freecodecamp.org/learn/scientific-computing-with-python/"}
-        ],
-        "python_intermediate": [
-            {"title": "Corey Schafer Python Tutorials", "url": "https://www.youtube.com/user/schafer5"},
-            {"title": "Advanced Python Features", "url": "https://www.youtube.com/playlist?list=PLP8GkvaIxJP0VAXF3USi9U4JnpxnHjT_"},
-            {"title": "Python OOP Tutorials", "url": "https://www.youtube.com/playlist?list=PLzMcBGfZo4-l1MqB1zoYfqzlj_HH-ZzXt"},
-            {"title": "MIT OpenCourseWare: Python", "url": "https://ocw.mit.edu/courses/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/"}
-        ],
-        "data_science_beginner": [
-            {"title": "Python for Data Science Course", "url": "https://www.youtube.com/watch?v=LHBE6Q9XlzI"},
-            {"title": "Data Analysis with Python - Full Course", "url": "https://www.youtube.com/watch?v=r-uOLxNrNk8"},
-            {"title": "Statistics Fundamentals", "url": "https://www.youtube.com/playlist?list=PLblh5JKOoLUK0FLuzwntyYI10UQFUhsY9"},
-            {"title": "freeCodeCamp Data Analysis Course", "url": "https://www.freecodecamp.org/learn/data-analysis-with-python/"}
-        ],
-        "data_science_advanced": [
-            {"title": "StatQuest: Machine Learning", "url": "https://www.youtube.com/playlist?list=PLblh5JKOoLUIcdlgu78MnlATeyx4cEVeR"},
-            {"title": "Machine Learning Course by Andrew Ng", "url": "https://www.coursera.org/learn/machine-learning"},
-            {"title": "Deep Learning Specialization", "url": "https://www.deeplearning.ai/deep-learning-specialization/"},
-            {"title": "Data Science Full Course", "url": "https://www.youtube.com/watch?v=ua-CiDNNj30"}
-        ],
-        "ai_specialization": [
-            {"title": "Stanford CS231n: CNN for Visual Recognition", "url": "https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv"},
-            {"title": "Deep Learning Lectures by Lex Fridman", "url": "https://www.youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf"},
-            {"title": "MIT 6.S191: Introduction to Deep Learning", "url": "http://introtodeeplearning.com/"},
-            {"title": "Stanford CS224N: NLP with Deep Learning", "url": "https://www.youtube.com/playlist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z"}
-        ],
-        "generative_ai": [
-            {"title": "Neural Networks: Zero to Hero", "url": "https://karpathy.ai/zero-to-hero.html"},
-            {"title": "LLM Bootcamp", "url": "https://www.youtube.com/watch?v=twHxmU9OxDU"},
-            {"title": "Diffusion Models Explained", "url": "https://www.youtube.com/watch?v=fbLgFrlTnGU"},
-            {"title": "Prompt Engineering for LLMs", "url": "https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/"}
-        ],
-        "agentic_ai": [
-            {"title": "Building AI Agents with LangChain", "url": "https://www.youtube.com/watch?v=iw2Wcw7qPuE"},
-            {"title": "LLM Agents Tutorial", "url": "https://www.youtube.com/watch?v=RUzgloRlHIc"},
-            {"title": "Reinforcement Learning Course", "url": "https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ"},
-            {"title": "AutoGPT and Multi-Agent Systems", "url": "https://www.youtube.com/watch?v=4YaILFaUXTo"}
-        ]
-    },
-    "Interactive Exercises": {
-        "python_beginner": [
-            {"title": "CodeCademy Python Course", "url": "https://www.codecademy.com/learn/learn-python-3"},
-            {"title": "CheckiO Python Challenges", "url": "https://py.checkio.org/"},
-            {"title": "Python Tutor", "url": "https://pythontutor.com/"},
-            {"title": "HackerRank Python Practice", "url": "https://www.hackerrank.com/domains/python"}
-        ],
-        "python_intermediate": [
-            {"title": "Exercism Python Track", "url": "https://exercism.org/tracks/python"},
-            {"title": "CodeWars Python Challenges", "url": "https://www.codewars.com/?language=python"},
-            {"title": "LeetCode Python Problems", "url": "https://leetcode.com/problemset/all/?difficulty=EASY&page=1&languageTags=python"},
-            {"title": "Project Euler", "url": "https://projecteuler.net/"}
-        ],
-        "data_science_beginner": [
-            {"title": "DataCamp Interactive Courses", "url": "https://www.datacamp.com/courses/free-introduction-to-r"},
-            {"title": "Kaggle Learn Interactive Tutorials", "url": "https://www.kaggle.com/learn/overview"},
-            {"title": "DataQuest Interactive Data Science", "url": "https://www.dataquest.io/"},
-            {"title": "Google's Data Analytics Course", "url": "https://www.coursera.org/professional-certificates/google-data-analytics"}
-        ],
-        "data_science_advanced": [
-            {"title": "Interactive ML Course", "url": "https://www.coursera.org/learn/machine-learning"},
-            {"title": "Kaggle Interactive Competitions", "url": "https://www.kaggle.com/competitions"},
-            {"title": "Interactive Deep Learning", "url": "https://www.deeplearning.ai/courses/"},
-            {"title": "Machine Learning Playground", "url": "https://ml-playground.com/"}
-        ],
-        "ai_specialization": [
-            {"title": "TensorFlow Playground", "url": "https://playground.tensorflow.org/"},
-            {"title": "Interactive Neural Network Builder", "url": "https://alexlenail.me/NN-SVG/"},
-            {"title": "AI Experiments with Google", "url": "https://experiments.withgoogle.com/collection/ai"},
-            {"title": "OpenAI Gym", "url": "https://www.gymlibrary.dev/"}
-        ],
-        "generative_ai": [
-            {"title": "Hugging Face Spaces", "url": "https://huggingface.co/spaces"},
-            {"title": "Interactive LLM Playground", "url": "https://platform.openai.com/playground"},
-            {"title": "Interactive Stable Diffusion", "url": "https://huggingface.co/spaces/stabilityai/stable-diffusion"},
-            {"title": "GPT-4 Interactive Demos", "url": "https://chat.openai.com/"}
-        ],
-        "agentic_ai": [
-            {"title": "LangChain Interactive Tutorials", "url": "https://python.langchain.com/docs/get_started/introduction"},
-            {"title": "Interactive AI Agent Builder", "url": "https://github.com/microsoft/TaskMatrix"},
-            {"title": "AutoGen Playground", "url": "https://microsoft.github.io/autogen/"},
-            {"title": "Reinforcement Learning Interactive Course", "url": "https://www.coursera.org/specializations/reinforcement-learning"}
-        ]
-    },
-    "Combination": {
-        "python_beginner": [
-            {"title": "Python Documentation", "url": "https://docs.python.org/3/"},
-            {"title": "Real Python", "url": "https://realpython.com/"},
-            {"title": "Python for Everybody", "url": "https://www.py4e.com/"},
-            {"title": "Automate the Boring Stuff with Python", "url": "https://automatetheboringstuff.com/"}
-        ],
-        "python_intermediate": [
-            {"title": "Fluent Python", "url": "https://www.oreilly.com/library/view/fluent-python-2nd/9781492056348/"},
-            {"title": "Python Design Patterns", "url": "https://refactoring.guru/design-patterns/python"},
-            {"title": "Full Stack Python", "url": "https://www.fullstackpython.com/"},
-            {"title": "Python Testing with pytest", "url": "https://pragprog.com/titles/bopytest/python-testing-with-pytest/"}
-        ],
-        "data_science_beginner": [
-            {"title": "Kaggle Learn", "url": "https://www.kaggle.com/learn"},
-            {"title": "Towards Data Science", "url": "https://towardsdatascience.com/"},
-            {"title": "DataCamp", "url": "https://www.datacamp.com/"},
-            {"title": "Python Data Science Handbook", "url": "https://jakevdp.github.io/PythonDataScienceHandbook/"}
-        ],
-        "data_science_advanced": [
-            {"title": "Machine Learning Mastery", "url": "https://machinelearningmastery.com/"},
-            {"title": "Hands-On Machine Learning with Scikit-Learn", "url": "https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/"},
-            {"title": "Fast.ai", "url": "https://www.fast.ai/"},
-            {"title": "Stanford CS229: Machine Learning", "url": "https://see.stanford.edu/Course/CS229"}
-        ],
-        "ai_specialization": [
-            {"title": "DeepLearning.AI", "url": "https://www.deeplearning.ai/"},
-            {"title": "TensorFlow Tutorials", "url": "https://www.tensorflow.org/tutorials"},
-            {"title": "PyTorch Tutorials", "url": "https://pytorch.org/tutorials/"},
-            {"title": "Hugging Face Course", "url": "https://huggingface.co/learn"}
-        ],
-        "generative_ai": [
-            {"title": "Andrej Karpathy's Neural Networks Course", "url": "https://karpathy.ai/zero-to-hero.html"},
-            {"title": "Hugging Face Diffusion Models Course", "url": "https://huggingface.co/learn/diffusion-models/"},
-            {"title": "Prompt Engineering Guide", "url": "https://www.promptingguide.ai/"},
-            {"title": "Stanford CS324: Large Language Models", "url": "https://stanford-cs324.github.io/winter2022/"}
-        ],
-        "agentic_ai": [
-            {"title": "LangChain Documentation", "url": "https://python.langchain.com/docs/get_started/introduction"},
-            {"title": "Microsoft AutoGen", "url": "https://microsoft.github.io/autogen/"},
-            {"title": "Multi-Agent Debate by Anthropic", "url": "https://www.anthropic.com/research/debate"},
-            {"title": "Berkeley CS285: Deep Reinforcement Learning", "url": "https://rail.eecs.berkeley.edu/deeprlcourse/"}
-        ]
-    }
+    "python_beginner": [
+        {"title": "Python Documentation", "url": "https://docs.python.org/3/"},
+        {"title": "Real Python", "url": "https://realpython.com/"},
+        {"title": "Python for Everybody", "url": "https://www.py4e.com/"},
+        {"title": "Automate the Boring Stuff with Python", "url": "https://automatetheboringstuff.com/"}
+    ],
+    "python_intermediate": [
+        {"title": "Fluent Python", "url": "https://www.oreilly.com/library/view/fluent-python-2nd/9781492056348/"},
+        {"title": "Python Design Patterns", "url": "https://refactoring.guru/design-patterns/python"},
+        {"title": "Full Stack Python", "url": "https://www.fullstackpython.com/"},
+        {"title": "Python Testing with pytest", "url": "https://pragprog.com/titles/bopytest/python-testing-with-pytest/"}
+    ],
+    "data_science_beginner": [
+        {"title": "Kaggle Learn", "url": "https://www.kaggle.com/learn"},
+        {"title": "Towards Data Science", "url": "https://towardsdatascience.com/"},
+        {"title": "DataCamp", "url": "https://www.datacamp.com/"},
+        {"title": "Python Data Science Handbook", "url": "https://jakevdp.github.io/PythonDataScienceHandbook/"}
+    ],
+    "data_science_advanced": [
+        {"title": "Machine Learning Mastery", "url": "https://machinelearningmastery.com/"},
+        {"title": "Hands-On Machine Learning with Scikit-Learn", "url": "https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/"},
+        {"title": "Fast.ai", "url": "https://www.fast.ai/"},
+        {"title": "Stanford CS229: Machine Learning", "url": "https://see.stanford.edu/Course/CS229"}
+    ],
+    "ai_specialization": [
+        {"title": "DeepLearning.AI", "url": "https://www.deeplearning.ai/"},
+        {"title": "TensorFlow Tutorials", "url": "https://www.tensorflow.org/tutorials"},
+        {"title": "PyTorch Tutorials", "url": "https://pytorch.org/tutorials/"},
+        {"title": "Hugging Face Course", "url": "https://huggingface.co/learn"}
+    ],
+    "generative_ai": [
+        {"title": "Andrej Karpathy's Neural Networks Course", "url": "https://karpathy.ai/zero-to-hero.html"},
+        {"title": "Hugging Face Diffusion Models Course", "url": "https://huggingface.co/learn/diffusion-models/"},
+        {"title": "Prompt Engineering Guide", "url": "https://www.promptingguide.ai/"},
+        {"title": "Stanford CS324: Large Language Models", "url": "https://stanford-cs324.github.io/winter2022/"}
+    ],
+    "agentic_ai": [
+        {"title": "LangChain Documentation", "url": "https://python.langchain.com/docs/get_started/introduction"},
+        {"title": "Microsoft AutoGen", "url": "https://microsoft.github.io/autogen/"},
+        {"title": "Multi-Agent Debate by Anthropic", "url": "https://www.anthropic.com/research/debate"},
+        {"title": "Berkeley CS285: Deep Reinforcement Learning", "url": "https://rail.eecs.berkeley.edu/deeprlcourse/"}
+    ]
 }
 
-# Practice project ideas based on learning style
+# Practice project ideas
 PROJECT_IDEAS = {
-    "Visual": {
-        "python_beginner": [
-            "Data Visualization Dashboard with Matplotlib",
-            "Interactive Game with Pygame",
-            "Visual Timer Application with Tkinter",
-            "Color Palette Generator",
-            "Image Processing Tool"
-        ],
-        "python_intermediate": [
-            "Data Visualization Web App with Flask and D3.js",
-            "Interactive Map Application",
-            "Animated Data Dashboard",
-            "Custom Visualization Library",
-            "Image Recognition System"
-        ],
-        "data_science_beginner": [
-            "Interactive Data Dashboard with Plotly",
-            "Visual Exploratory Data Analysis Tool",
-            "Chart Comparison Application",
-            "Geographic Data Visualization",
-            "Statistical Visualization Gallery"
-        ],
-        "data_science_advanced": [
-            "Real-time Visual Analytics Dashboard",
-            "Machine Learning Model Visualizer",
-            "Neural Network Visualization Tool",
-            "Computer Vision Project",
-            "Interactive Data Storytelling Platform"
-        ],
-        "ai_specialization": [
-            "Neural Network Architecture Visualizer",
-            "Interactive AI Learning Environment",
-            "Computer Vision Object Detector",
-            "Visual Pattern Recognition System",
-            "Brain-Computer Interface Visualization"
-        ],
-        "generative_ai": [
-            "Style Transfer Art Generator",
-            "Visual AI Art Gallery",
-            "Image Generation Dashboard",
-            "Interactive Text-to-Image System",
-            "Visual Prompt Engineering Tool"
-        ],
-        "agentic_ai": [
-            "Visual Agent Environment Simulator",
-            "Agent Decision Tree Visualizer",
-            "Multi-Agent Interaction Visualization",
-            "Visual Reinforcement Learning Playground",
-            "Interactive Agent Behavior Explorer"
-        ]
-    },
-    "Reading/Writing": {
-        "python_beginner": [
-            "Text File Processing Tool",
-            "Personal Journal Application",
-            "Notes Organization System",
-            "Simple Blog Platform",
-            "Document Analyzer"
-        ],
-        "python_intermediate": [
-            "Advanced Text Editor",
-            "Markdown Documentation Generator",
-            "Content Management System",
-            "Personal Wiki Platform",
-            "Technical Documentation Tool"
-        ],
-        "data_science_beginner": [
-            "Text Data Analysis Tool",
-            "Literature Review Database",
-            "Research Paper Summarizer",
-            "Study Notes Organizer",
-            "Data Analysis Report Generator"
-        ],
-        "data_science_advanced": [
-            "Research Paper Recommendation System",
-            "Advanced NLP Analysis Tool",
-            "Automated Report Generator",
-            "Literature Review AI Assistant",
-            "Technical Writing Assistant"
-        ],
-        "ai_specialization": [
-            "Text Summarization System",
-            "AI-Powered Document Analysis",
-            "Scientific Paper Classification Tool",
-            "Sentiment Analysis for Literature",
-            "Technical Writing Enhancement System"
-        ],
-        "generative_ai": [
-            "Fine-tuned GPT Model for Specific Domain",
-            "Text-to-Image Generation App",
-            "AI Story Generator",
-            "Custom ChatGPT Plugin",
-            "Music Generation System"
-        ],
-        "agentic_ai": [
-            "Autonomous Research Assistant",
-            "Multi-Agent Simulation",
-            "Tool-Using Chatbot",
-            "Task Planning Agent",
-            "Autonomous Data Analysis System"
-        ]
-    }
+    "python_beginner": [
+        "To-Do List Application",
+        "Simple Calculator",
+        "Password Generator",
+        "Hangman Game",
+        "Basic File Organizer"
+    ],
+    "python_intermediate": [
+        "Weather App with API",
+        "Personal Blog with Flask",
+        "Web Scraper for News Articles",
+        "Data Visualization Dashboard",
+        "Task Automation Scripts"
+    ],
+    "data_science_beginner": [
+        "Exploratory Data Analysis of Public Dataset",
+        "Basic Dashboard with Plotly",
+        "Linear Regression Model for Predictions",
+        "Data Cleaning Pipeline",
+        "Statistical Analysis Report"
+    ],
+    "data_science_advanced": [
+        "Housing Price Prediction",
+        "Customer Segmentation Analysis",
+        "Sentiment Analysis of Reviews",
+        "Stock Price Forecasting",
+        "A/B Test Analysis Dashboard"
+    ],
+    "ai_specialization": [
+        "Image Classification System",
+        "Chatbot with NLP",
+        "Recommendation Engine",
+        "Text Summarization Tool",
+        "Object Detection Application"
+    ],
+    "generative_ai": [
+        "Fine-tuned GPT Model for Specific Domain",
+        "Text-to-Image Generation App",
+        "AI Story Generator",
+        "Custom ChatGPT Plugin",
+        "Music Generation System"
+    ],
+    "agentic_ai": [
+        "Autonomous Research Assistant",
+        "Multi-Agent Simulation",
+        "Tool-Using Chatbot",
+        "Task Planning Agent",
+        "Autonomous Data Analysis System"
+    ]
 }
 
 # User session data store
@@ -1013,7 +739,7 @@ def create_chatbot():
             border-radius: 4px;
         }}
     """
-
+    
     with gr.Blocks(css=custom_css, theme=gr.themes.Soft(primary_hue="blue")) as demo:
         gr.HTML("<div id='title'>🎓 AI Teaching Assistant</div>")
         gr.HTML("<div id='subtitle'>Your personalized learning companion for Python, Data Science & AI</div>")