diff --git a/Projects/1-Beginner/todo_list_project.md b/Projects/1-Beginner/todo_list_project.md
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+
+# To-Do List Project File
+
+## Project Title: To-Do List Application
+
+### Short Description
+A basic to-do list application where users can add, remove, and check off tasks.
+
+### Tier: 1-Beginner
+
+### Project Overview
+The To-Do List application allows users to manage their tasks efficiently. Users can add new tasks, remove completed tasks, and mark tasks as completed. The application aims to provide a simple yet effective way for users to organize their daily activities.
+
+### User Stories
+- View Tasks: User can see a list of all tasks currently on their to-do list.
+- Add Tasks: User can add a new task by entering text into an input field and clicking an 'Add' button.
+- Remove Tasks: User can remove a task from the list by clicking a 'Delete' button next to the task.
+- Mark Tasks as Completed: User can click a checkbox next to a task to mark it as completed, visually indicating the task is done.
+- Clear All Tasks: User can clear all tasks with a 'Clear All' button.
+- Save Tasks: User’s tasks are saved in local storage, so they remain available even after the page is refreshed.
+
+### Features
+- Input Field: A text input field for users to enter their tasks.
+- Add Button: A button that adds the entered task to the list.
+- Task List: An unordered list that displays all tasks.
+- Delete Button: A button next to each task to remove it from the list.
+- Checkbox: A black checkbox to mark tasks as completed.
+- Clear All Button: A button to remove all tasks from the list.
+- Local Storage: Use local storage to save tasks, allowing persistence between sessions.
+
+### Constraints
+- Tasks should not exceed 100 characters.
+- Ensure the input field does not accept empty tasks.
+- Use clear, user-friendly messages for any errors (e.g., when attempting to add an empty task).
+
+### Bonus Features
+- Edit Tasks: Allow users to edit existing tasks by clicking on them.
+- Due Dates: Users can set due dates for tasks and sort tasks based on these dates.
+- Priority Levels: Users can assign priority levels (e.g., low, medium, high) to tasks.
+
+### Useful Links and Resources
+- [MDN Web Docs - Web Storage API](https://developer.mozilla.org/en-US/docs/Web/API/Web_Storage_API)
+- [JavaScript Array Methods](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array)
+- [CSS Flexbox Guide](https://css-tricks.com/snippets/css/a-guide-to-flexbox/)
+
+### Example Projects
+- Simple To-Do List
+- Task Manager App
+- JavaScript To-Do List
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+ "Requirement already satisfied: transformers in /usr/local/lib/python3.12/dist-packages (4.57.1)\n",
+ "Requirement already satisfied: datasets in /usr/local/lib/python3.12/dist-packages (4.0.0)\n",
+ "Requirement already satisfied: evaluate in /usr/local/lib/python3.12/dist-packages (0.4.6)\n",
+ "Requirement already satisfied: torch in /usr/local/lib/python3.12/dist-packages (2.8.0+cu126)\n",
+ "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.12/dist-packages (1.6.1)\n",
+ "Requirement already satisfied: pandas in /usr/local/lib/python3.12/dist-packages (2.2.2)\n",
+ "Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from transformers) (3.20.0)\n",
+ "Requirement already satisfied: huggingface-hub<1.0,>=0.34.0 in /usr/local/lib/python3.12/dist-packages (from transformers) (0.36.0)\n",
+ "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.12/dist-packages (from transformers) (2.0.2)\n",
+ "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.12/dist-packages (from transformers) (25.0)\n",
+ "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.12/dist-packages (from transformers) (6.0.3)\n",
+ "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.12/dist-packages (from transformers) (2024.11.6)\n",
+ "Requirement already satisfied: requests in /usr/local/lib/python3.12/dist-packages (from transformers) (2.32.4)\n",
+ "Requirement already satisfied: tokenizers<=0.23.0,>=0.22.0 in /usr/local/lib/python3.12/dist-packages (from transformers) (0.22.1)\n",
+ "Requirement already satisfied: safetensors>=0.4.3 in /usr/local/lib/python3.12/dist-packages (from transformers) (0.6.2)\n",
+ "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.12/dist-packages (from transformers) (4.67.1)\n",
+ "Requirement already satisfied: pyarrow>=15.0.0 in /usr/local/lib/python3.12/dist-packages (from datasets) (18.1.0)\n",
+ "Requirement already satisfied: dill<0.3.9,>=0.3.0 in /usr/local/lib/python3.12/dist-packages (from datasets) (0.3.8)\n",
+ "Requirement already satisfied: xxhash in /usr/local/lib/python3.12/dist-packages (from datasets) (3.6.0)\n",
+ "Requirement already satisfied: multiprocess<0.70.17 in /usr/local/lib/python3.12/dist-packages (from datasets) (0.70.16)\n",
+ "Requirement already satisfied: fsspec<=2025.3.0,>=2023.1.0 in /usr/local/lib/python3.12/dist-packages (from fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (2025.3.0)\n",
+ "Requirement already satisfied: typing-extensions>=4.10.0 in /usr/local/lib/python3.12/dist-packages (from torch) (4.15.0)\n",
+ "Requirement already satisfied: setuptools in /usr/local/lib/python3.12/dist-packages (from torch) (75.2.0)\n",
+ "Requirement already satisfied: sympy>=1.13.3 in /usr/local/lib/python3.12/dist-packages (from torch) (1.13.3)\n",
+ "Requirement already satisfied: networkx in /usr/local/lib/python3.12/dist-packages (from torch) (3.5)\n",
+ "Requirement already satisfied: jinja2 in /usr/local/lib/python3.12/dist-packages (from torch) (3.1.6)\n",
+ "Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.6.77 in /usr/local/lib/python3.12/dist-packages (from torch) (12.6.77)\n",
+ "Requirement already satisfied: nvidia-cuda-runtime-cu12==12.6.77 in /usr/local/lib/python3.12/dist-packages (from torch) (12.6.77)\n",
+ "Requirement already satisfied: nvidia-cuda-cupti-cu12==12.6.80 in /usr/local/lib/python3.12/dist-packages (from torch) (12.6.80)\n",
+ "Requirement already satisfied: nvidia-cudnn-cu12==9.10.2.21 in /usr/local/lib/python3.12/dist-packages (from torch) (9.10.2.21)\n",
+ "Requirement already satisfied: nvidia-cublas-cu12==12.6.4.1 in /usr/local/lib/python3.12/dist-packages (from torch) (12.6.4.1)\n",
+ "Requirement already satisfied: nvidia-cufft-cu12==11.3.0.4 in /usr/local/lib/python3.12/dist-packages (from torch) (11.3.0.4)\n",
+ "Requirement already satisfied: nvidia-curand-cu12==10.3.7.77 in /usr/local/lib/python3.12/dist-packages (from torch) (10.3.7.77)\n",
+ "Requirement already satisfied: nvidia-cusolver-cu12==11.7.1.2 in /usr/local/lib/python3.12/dist-packages (from torch) (11.7.1.2)\n",
+ "Requirement already satisfied: nvidia-cusparse-cu12==12.5.4.2 in /usr/local/lib/python3.12/dist-packages (from torch) (12.5.4.2)\n",
+ "Requirement already satisfied: nvidia-cusparselt-cu12==0.7.1 in /usr/local/lib/python3.12/dist-packages (from torch) (0.7.1)\n",
+ "Requirement already satisfied: nvidia-nccl-cu12==2.27.3 in /usr/local/lib/python3.12/dist-packages (from torch) (2.27.3)\n",
+ "Requirement already satisfied: nvidia-nvtx-cu12==12.6.77 in /usr/local/lib/python3.12/dist-packages (from torch) (12.6.77)\n",
+ "Requirement already satisfied: nvidia-nvjitlink-cu12==12.6.85 in /usr/local/lib/python3.12/dist-packages (from torch) (12.6.85)\n",
+ "Requirement already satisfied: nvidia-cufile-cu12==1.11.1.6 in /usr/local/lib/python3.12/dist-packages (from torch) (1.11.1.6)\n",
+ "Requirement already satisfied: triton==3.4.0 in /usr/local/lib/python3.12/dist-packages (from torch) (3.4.0)\n",
+ "Requirement already satisfied: scipy>=1.6.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn) (1.16.3)\n",
+ "Requirement already satisfied: joblib>=1.2.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn) (1.5.2)\n",
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+ "Requirement already satisfied: aiohttp!=4.0.0a0,!=4.0.0a1 in /usr/local/lib/python3.12/dist-packages (from fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (3.13.2)\n",
+ "Requirement already satisfied: hf-xet<2.0.0,>=1.1.3 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub<1.0,>=0.34.0->transformers) (1.2.0)\n",
+ "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.8.2->pandas) (1.17.0)\n",
+ "Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests->transformers) (3.4.4)\n",
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+ "Requirement already satisfied: aiohappyeyeballs>=2.5.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (2.6.1)\n",
+ "Requirement already satisfied: aiosignal>=1.4.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (1.4.0)\n",
+ "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (25.4.0)\n",
+ "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (1.8.0)\n",
+ "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (6.7.0)\n",
+ "Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (0.4.1)\n",
+ "Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets) (1.22.0)\n",
+ "Requirement already satisfied: transformers in /usr/local/lib/python3.12/dist-packages (4.57.1)\n",
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+ "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.12/dist-packages (from transformers) (25.0)\n",
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+ "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.12/dist-packages (from transformers) (2024.11.6)\n",
+ "Requirement already satisfied: requests in /usr/local/lib/python3.12/dist-packages (from transformers) (2.32.4)\n",
+ "Requirement already satisfied: tokenizers<=0.23.0,>=0.22.0 in /usr/local/lib/python3.12/dist-packages (from transformers) (0.22.1)\n",
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+ "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub<1.0,>=0.34.0->transformers) (4.15.0)\n",
+ "Requirement already satisfied: hf-xet<2.0.0,>=1.1.3 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub<1.0,>=0.34.0->transformers) (1.2.0)\n",
+ "Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests->transformers) (3.4.4)\n",
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+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.12/dist-packages (from requests->transformers) (2025.10.5)\n"
+ ]
+ }
+ ],
+ "source": [
+ "!pip install transformers datasets evaluate torch scikit-learn pandas\n",
+ "!pip install -U transformers\n",
+ "\n",
+ "from datasets import load_dataset\n",
+ "import evaluate\n",
+ "metric = evaluate.load(\"accuracy\")\n",
+ "\n",
+ "from transformers import AutoTokenizer, AutoModelForSequenceClassification, TrainingArguments, Trainer\n",
+ "import numpy as np\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# Install dependencies\n",
+ "import sys\n",
+ "!{sys.executable} -m pip install -q evaluate\n",
+ "!{sys.executable} -m pip install -q transformers\n",
+ "\n",
+ "from datasets import load_dataset\n",
+ "import evaluate\n",
+ "from transformers import AutoTokenizer, AutoModelForSequenceClassification, TrainingArguments, Trainer\n",
+ "import numpy as np\n",
+ "import torch\n",
+ "\n",
+ "# ===============================\n",
+ "# 1. Load Dataset\n",
+ "# ===============================\n",
+ "dataset = load_dataset(\n",
+ " \"csv\",\n",
+ " data_files=\"/content/sample_data/cleaned_liar_dataset.csv\"\n",
+ ")\n",
+ "\n",
+ "dataset = dataset[\"train\"].train_test_split(test_size=0.2, seed=42)\n",
+ "\n",
+ "# ===============================\n",
+ "# 2. Build rich input text\n",
+ "# ===============================\n",
+ "def build_text(example):\n",
+ " parts = [\n",
+ " example.get(\"statement\", \"\"),\n",
+ " example.get(\"subject\", \"\"),\n",
+ " example.get(\"speaker\", \"\"),\n",
+ " example.get(\"party_affiliation\", \"\"),\n",
+ " example.get(\"context\", \"\")\n",
+ " ]\n",
+ " example[\"text\"] = \" [SEP] \".join([p for p in parts if p])\n",
+ " return example\n",
+ "\n",
+ "dataset = dataset.map(build_text)\n",
+ "\n",
+ "# ===============================\n",
+ "# 3. Encode labels\n",
+ "# ===============================\n",
+ "unique_labels = sorted(dataset[\"train\"].unique(\"label\"))\n",
+ "label2id = {label: i for i, label in enumerate(unique_labels)}\n",
+ "id2label = {i: label for label, i in label2id.items()}\n",
+ "\n",
+ "def encode_labels(example):\n",
+ " example[\"label\"] = label2id[example[\"label\"]]\n",
+ " return example\n",
+ "\n",
+ "dataset = dataset.map(encode_labels)\n",
+ "\n",
+ "print(\"Label mapping:\", label2id)\n",
+ "\n",
+ "# ===============================\n",
+ "# 4. Tokenize\n",
+ "# ===============================\n",
+ "tokenizer = AutoTokenizer.from_pretrained(\"microsoft/deberta-v3-base\")\n",
+ "\n",
+ "def tokenize_function(examples):\n",
+ " return tokenizer(\n",
+ " examples[\"text\"],\n",
+ " padding=\"max_length\",\n",
+ " truncation=True,\n",
+ " max_length=384 # DeBERTa benefits from longer context\n",
+ " )\n",
+ "\n",
+ "tokenized_datasets = dataset.map(tokenize_function, batched=True)\n",
+ "\n",
+ "# ===============================\n",
+ "# 5. Load DeBERTa-v3-base\n",
+ "# ===============================\n",
+ "model = AutoModelForSequenceClassification.from_pretrained(\n",
+ " \"microsoft/deberta-v3-base\",\n",
+ " num_labels=len(unique_labels),\n",
+ " id2label=id2label,\n",
+ " label2id=label2id\n",
+ ")\n",
+ "\n",
+ "# ===============================\n",
+ "# 6. Training Arguments (older HF compatible)\n",
+ "# ===============================\n",
+ "training_args = TrainingArguments(\n",
+ " output_dir=\"./results\",\n",
+ " do_train=True,\n",
+ " do_eval=True,\n",
+ " per_device_train_batch_size=8, # DeBERTa is heavier than DistilBERT\n",
+ " per_device_eval_batch_size=8,\n",
+ " learning_rate=2e-5,\n",
+ " num_train_epochs=5, # Better convergence\n",
+ " logging_steps=50,\n",
+ " fp16=torch.cuda.is_available(), # Use fp16 if GPU exists\n",
+ " save_total_limit=1 # Prevent disk overflow\n",
+ ")\n",
+ "\n",
+ "# ===============================\n",
+ "# 7. Metrics\n",
+ "# ===============================\n",
+ "metric = evaluate.load(\"f1\")\n",
+ "\n",
+ "def compute_metrics(eval_pred):\n",
+ " logits, labels = eval_pred\n",
+ " preds = np.argmax(logits, axis=-1)\n",
+ " return metric.compute(predictions=preds, references=labels, average=\"weighted\")\n",
+ "\n",
+ "# ===============================\n",
+ "# 8. Trainer\n",
+ "# ===============================\n",
+ "trainer = Trainer(\n",
+ " model=model,\n",
+ " args=training_args,\n",
+ " train_dataset=tokenized_datasets[\"train\"],\n",
+ " eval_dataset=tokenized_datasets[\"test\"],\n",
+ " compute_metrics=compute_metrics,\n",
+ " tokenizer=tokenizer\n",
+ ")\n",
+ "\n",
+ "# ===============================\n",
+ "# 9. Train\n",
+ "# ===============================\n",
+ "print(\"Starting DeBERTa training...\")\n",
+ "trainer.train()\n",
+ "\n",
+ "# ===============================\n",
+ "# 10. Evaluate\n",
+ "# ===============================\n",
+ "print(\"\\nEvaluating model...\")\n",
+ "results = trainer.evaluate()\n",
+ "print(\"\\nFinal Results:\")\n",
+ "print(results)\n",
+ "\n",
+ "# ===============================\n",
+ "# 11. Save model\n",
+ "# ===============================\n",
+ "trainer.save_model(\"./deberta_liar_model\")\n",
+ "tokenizer.save_pretrained(\"./deberta_liar_model\")\n",
+ "\n",
+ "print(\"\\nModel saved to ./deberta_liar_model\")\n"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000,
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+ "id": "MOmDRrQ4h34Z",
+ "outputId": "96d81b01-b6f5-48b8-b9ea-e60196128aae"
+ },
+ "execution_count": 4,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Map: 0%| | 0/1013 [00:00"
+ ],
+ "text/html": [
+ "\n",
+ " \n",
+ " \n",
+ "
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+ " [635/635 06:52, Epoch 5/5]\n",
+ "
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+ " \n",
+ " \n",
+ " | Step | \n",
+ " Training Loss | \n",
+ "
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+ " \n",
+ " \n",
+ " \n",
+ " | 50 | \n",
+ " 1.777500 | \n",
+ "
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+ " \n",
+ " | 100 | \n",
+ " 1.748700 | \n",
+ "
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+ " \n",
+ " | 150 | \n",
+ " 1.720100 | \n",
+ "
\n",
+ " \n",
+ " | 200 | \n",
+ " 1.755200 | \n",
+ "
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+ " \n",
+ " | 250 | \n",
+ " 1.725200 | \n",
+ "
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+ " \n",
+ " | 300 | \n",
+ " 1.678600 | \n",
+ "
\n",
+ " \n",
+ " | 350 | \n",
+ " 1.658500 | \n",
+ "
\n",
+ " \n",
+ " | 400 | \n",
+ " 1.625700 | \n",
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+ " \n",
+ " | 450 | \n",
+ " 1.545900 | \n",
+ "
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+ " \n",
+ " | 500 | \n",
+ " 1.528200 | \n",
+ "
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+ " \n",
+ " | 550 | \n",
+ " 1.410400 | \n",
+ "
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+ " \n",
+ " | 600 | \n",
+ " 1.387500 | \n",
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+ " [32/32 00:03]\n",
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