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1. Phi2-Qlora-amazon_product-description-generation Phi2-Qlora-amazon_product-description-generation Public

   This project Instruction fine-tunes the Phi-2 language model using QLoRA to generate Amazon product names and descriptions. It demonstrates efficient parameter-efficient fine-tuning on custom text …

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2. distilbert-vs-tinybert-fake-news distilbert-vs-tinybert-fake-news Public

   This project compares DistilBERT and TinyBERT for fake news classification. Both models are fine-tuned and evaluated to study the trade-off between accuracy and efficiency, showing how model size i…

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3. bert-finetuning-sentiment-analysis bert-finetuning-sentiment-analysis Public

   This project implements a multi-class emotion classification model using the BERT architecture. The model is designed to identify and categorize human emotions from text data with high precision us…

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4. LeafAI-Potato-Disease-Recognition-Using-CNN LeafAI-Potato-Disease-Recognition-Using-CNN Public

   LeafAI is a deep learning-based system that detects early blight, late blight, and healthy potato leaves using a custom CNN.

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5. Intelligent-Phrase-Completion-Prediction Intelligent-Phrase-Completion-Prediction Public

   Developed a next-phrase prediction model using a sliding-window n-gram approach, capable of suggesting words or phrases of any desired length based on input context.

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6. Mail-SMS-Phishing-Spam-Classifier Mail-SMS-Phishing-Spam-Classifier Public

   Developed a high-accuracy spam classifier leveraging ML techniques and text preprocessing to automatically detect and filter spam messages.

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