Pinned Repositories
presidio
Context aware, pluggable and customizable data protection and de-identification SDK for text and images
absa
This is the advanced form of the sentiment analysis from text. In this method we have to find out the sentiment regarding the aspect word. The data set contains the reviews and the aspect word/phrase. We have to find out the sentiment regarding that aspect/phrase. We have used simple method using TfIdfVectorizer and ml algorithms. Got the nearly 70% accuracy.
automas
AutoMAS is an AI-powered system for real-time monitoring and analysis of mobile devices. It captures and processes data autonomously, extracts contextual insights, and reports issues through a conversational bot.
Automate-identification-and-recognition-of-handwritten-text-from-an-image
This project offers an efficient method for identifying and recognizing handwritten text from images. Using a Convolutional Recurrent Neural Network (CRNN) for Optical Character Recognition (OCR), it effectively extracts text from images, aiding in the digitization of handwritten documents and automated text extraction.
Ball-Balancing-Machine
Ball balancing machine
blooms-taxonomy-classifier
Bloom's Taxonomy Question Classifier: A versatile tool for educators to categorize questions by cognitive complexity, aiding in assessment design and fostering diverse thinking skills in students.
Decision-Tree-Classifier-of-Iris-Dataset
This is simple automatic Iris plant classifier using Decision Tree Classifier algorithm and Heroku Cloud Application Platform. This app takes input as features of Iris plant and classify it using Decision Tree Classifier algorithm.
deepfake-detection
This project is a deep learning-based application designed to detect deepfake videos using a combination of InceptionV3, LSTM, and GRU layers. The model analyzes motion-detected frames extracted from videos and classifies them as "REAL" or "FAKE."
EEG-BCI
Marketing_Campaign_for_Banking_Products
This is Marketing Campaign project for bank sector. To increase the customer regarding loan. This model is used to point out that customers which are going to take loan definitely. I used various machine learning algorithm to solve this problem.
VMD7's Repositories
VMD7/Automate-identification-and-recognition-of-handwritten-text-from-an-image
This project offers an efficient method for identifying and recognizing handwritten text from images. Using a Convolutional Recurrent Neural Network (CRNN) for Optical Character Recognition (OCR), it effectively extracts text from images, aiding in the digitization of handwritten documents and automated text extraction.
VMD7/deepfake-detection
This project is a deep learning-based application designed to detect deepfake videos using a combination of InceptionV3, LSTM, and GRU layers. The model analyzes motion-detected frames extracted from videos and classifies them as "REAL" or "FAKE."
VMD7/blooms-taxonomy-classifier
Bloom's Taxonomy Question Classifier: A versatile tool for educators to categorize questions by cognitive complexity, aiding in assessment design and fostering diverse thinking skills in students.
VMD7/absa
This is the advanced form of the sentiment analysis from text. In this method we have to find out the sentiment regarding the aspect word. The data set contains the reviews and the aspect word/phrase. We have to find out the sentiment regarding that aspect/phrase. We have used simple method using TfIdfVectorizer and ml algorithms. Got the nearly 70% accuracy.
VMD7/automas
AutoMAS is an AI-powered system for real-time monitoring and analysis of mobile devices. It captures and processes data autonomously, extracts contextual insights, and reports issues through a conversational bot.
VMD7/Decision-Tree-Classifier-of-Iris-Dataset
This is simple automatic Iris plant classifier using Decision Tree Classifier algorithm and Heroku Cloud Application Platform. This app takes input as features of Iris plant and classify it using Decision Tree Classifier algorithm.
VMD7/EEG-BCI
VMD7/Marketing_Campaign_for_Banking_Products
This is Marketing Campaign project for bank sector. To increase the customer regarding loan. This model is used to point out that customers which are going to take loan definitely. I used various machine learning algorithm to solve this problem.
VMD7/PyQuiz
This is simple program which is used to create a quiz and checks answers instantly.
VMD7/Students-Score-Prediction
This is simple and easy Machine Learning model. In this we have to predict the score of a student based on his/her study hours. This is supervised learning problem. So, I used simple Linear Regression algorithm. Also, I deployed this model on Heroku.
VMD7/Ball-Balancing-Machine
Ball balancing machine
VMD7/K-Means-Clustering-of-Iris-Dataset
This is task 2 of The Sparks Foundation GRIPNOV20. This repository is basically focused on Unsupervised Machine Learning. I used K-Means Clustering Algorithm to make clusters of Iris dataset.
VMD7/Lbl2Vec
Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.
VMD7/RasaHandsOn
VMD7/bilm-tf
Tensorflow implementation of contextualized word representations from bi-directional language models
VMD7/LangGraphTutorials
VMD7/presidio
Context aware, pluggable and customizable data protection and de-identification SDK for text and images
VMD7/privateGPT
Interact with your documents using the power of GPT, 100% privately, no data leaks
VMD7/Questgen.ai
Question generation using state-of-the-art Natural Language Processing algorithms
VMD7/VMD7
Config files for my GitHub profile.