Vidhi Waghela's repositories
LLM---Detect-AI-Generated-Text
AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated text. Seamlessly integrated, highly accurate, and user-friendly.🚀
Deep-Learning-for-EEG-Emotion-Classification
This repository contains a Python code script for performing emotion classification using EEG (Electroencephalogram) data. Emotion classification from EEG signals is an important application in neuroscience and human-computer interaction. The code leverages deep learning techniques to analyze EEG data and predict emotional states.
Machine-learning-Pipeline
Explore a collection of Jupyter notebooks that guide you through various stages of the machine learning pipeline. From data analysis and feature engineering to model training and deployment, these notebooks provide practical insights for both beginners and experienced data enthusiasts. Let's dive into the world of data-driven decision-making! 📊🚀"
Medical-Image-Segmentation-Deep-Learning-Project
Our project uses state-of-the-art deep learning techniques to tackle a vital medical task: polyp segmentation from colonoscopy images. We harness the Unet++ architecture and a robust tech stack to precisely detect and isolate polyps, advancing healthcare diagnostics and patient care. 🏥💡
Multi-Class-Text-Classification-using-BERT-Model
Predict consumer financial product categories using BERT, based on over two million customer complaints. This project involves data processing, model building with pre-trained BERT, and making predictions on new text data.
Brain-Tumor-Detection
Brain Tumor Detection using CNN: Achieving 96% Accuracy with TensorFlow: Highlights the main focus of your project, which is brain tumor detection using a Convolutional Neural Network (CNN) implemented in TensorFlow. It also emphasizes the impressive achievement of reaching 96% accuracy, which showcases the effectiveness of your model.
Face-Recognition-System-in-Python-using-FaceNet
Dive into the world of computer vision! Our Image Classification from Video project uses advanced techniques to identify faces in images and videos. Explore video processing, face extraction, and deep learning magic. Join the adventure now! 👩💻📸"
Kaggle-Competitions-Notebook
🚀 Your Kaggle Hub: Competitions, Resources, Tips! Discover a one-stop repository for Kaggle competitions, coding tips, articles, and more. Open for collaboration and discussions, this space is dedicated to enhancing our collective knowledge. Join in, explore, and contribute to the Kaggle journey! 💻📊
Lung-Cancer-Detection-App
🔍 Discover the future of healthcare with our Lung Cancer Detection Project. Using advanced machine learning techniques, we've achieved 92% accuracy in identifying lung cancer. Join us at the forefront of medical AI. 👩⚕️🌟 #AIHealthcare #LungCancerDetection
Robust-yield-prediction-
"Predicting a Greener Future 🌾📊 Delve into the world of agriculture and data science with our Yield Prediction project. We harness machine learning and weather data to forecast crop yields accurately. Join us in cultivating smarter farming practices for a sustainable tomorrow."
Bollywood-movie-dataset
Dive into Bollywood Cinema: Movies for Advanced Data Analysis and Machine Learning
CycleGAN-Implementation-for-Image-To-Image-Translation
🖼️ Our CycleGAN Implementation for Image-to-Image Translation project leverages PyTorch to seamlessly transform images between domains, all without paired examples. With a keen focus on innovation and effectiveness, we've explored CycleGAN's capabilities across various domains. Join us as we delve into the world of image translation technology! 🚀
Disaster-Tweet-Classification-using-LSTM
Developed a deep learning model using LSTM networks to classify tweets as disaster-related or non-disaster-related, vital for emergency response. Explored advanced EDA techniques, visualized tweet data insights, and achieved a high F1 score of 0.74. Check out the code and results!
Emotion-Classifier-with-Deep-Learning
Welcome to the Emotion Classifier project! This repository contains a comprehensive solution for emotion classification using Natural Language Processing (NLP) and deep learning techniques.😭🤣🙂
Image-Inpainting
🎨 Restore images flawlessly with our Image Inpainting Showcase! Using Convolutional Neural Networks, we revive corrupted parts. Explore code, models, and innovation for visual perfection. Join the AI journey of artistry and magic! 🖼️🔮 #ImageInpainting
Malware-Detection
Welcome to the Malicious Executable Detection project! This repository explores the world of machine learning and clustering analysis to detect malicious executable files 🔥🔐
PYTHON-COURSE
Welcome to the Python Mastery Course Repository! Discover Python's depth and power through our meticulously crafted modules. From foundational concepts to advanced techniques, master loops, functions, data analysis with Pandas, and more. Join us in this exciting journey to Python proficiency! 🐍🚀
Text-Classification-with-Transformers-RoBERTa-and-XLNet-Model
This project explores advanced NLP techniques using RoBERTa and XLNet models to classify human emotions from textual data. By leveraging robust training and optimization methods, it aims to enhance emotion detection accuracy in applications like social media analysis and customer support.
Word2Vec-and-FastText-Word-Embedding-with-Gensim-in-Python
This project explores the realm of Natural Language Processing (NLP) using Word2Vec and FastText models. Dive into domain-specific embeddings, analyze clinical trials data related to Covid-19, and uncover the power of AI and ML in understanding textual data.🌟
AI-ML-Cartoonifier
Welcome to Cartoonify, a fun and interactive project that converts real photos into cartoonified masterpieces! This project guides you through the entire process, from loading the image to displaying the final cartoon version.😛
Essay-Quality-Prediction-Keystroke-Analysis-with-RandomForest
Explore the Essay Quality Prediction project—a machine learning model that predicts essay quality based on typing behaviors. Leveraging a Random Forest Regressor, this tool provides insights into writing processes. Connect with me on LinkedIn and find more projects on GitHub. Happy coding! 📝✨
HR_Employee_Prediction
"Welcome to the HR Employee Promotion Prediction project! This repository contains the code and resources for a machine learning project that focuses on predicting employee promotions. By analyzing various employee attributes, this project aims to provide valuable insights for HR decision-making and talent recognition within organizations.
Regression-Series
In this repository, we delve into the world of regression analysis. I have provided straightforward examples and in-depth explanations of both simple and multiple regression, helping you gain a solid grasp of these essential statistical techniques.😎✅
ScienceQA-Insights-Exploring-with-LLMs
Predictive Text Analysis project! This repository contains code for predicting answers to science exam questions using advanced natural language processing techniques. Check out the code and results!
Text-Classification-Model-with-Attention-Mechanism-NLP
This Python project utilizes PyTorch to perform text classification with an attention mechanism. Pre-trained GloVe embeddings are processed for word representation, and a custom attention model is trained on consumer complaint data to categorize complaints into product categories.🎯
ZOMATO-DATA-ANALYSIS
Zomato Data Analysis - Explore the world of Zomato restaurant data through Python and data analysis. Uncover trends and insights using Pandas for data manipulation and Matplotlib for visualization. Join us in this journey to reveal the hidden stories within the data!
FastAPI--To-do-task-docker
This project is a simple To-Do application built using FastAPI. It allows you to manage a list of tasks, each of which has a title, description, due date, priority, and completion status.