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Papers tagged with "Extraction"
Multilingual AI-Based Legal Document Analyzer Using Retrieval-Augmented Generation And Transformer Models
The Interpretation Of Legal Documents Remains A Complex, Time-intensive Challenge For Both Legal Professionals And The General Public. This Paper Presents A Multilingual AI-Based Legal Document Analyzer That Lever- Ages Retrieval-Augmented...
Enhanced Deepfake Detection Using Preprocessed Video Frames And Convolution Neural Networks
Digital Security And Authenticity Are Being Threatened By Deepfake Technology, Which Is Powered By Sophisticated Generative Models. A Convolutional Neural Network (CNN) Model Trained On Facial Data Taken From Video Frames Is Used In This St...
REVIEW ON PAPAIN EXTRACTION, PROCESSING AND ITS APPLICATION
Papain, A Cysteine Protease From Carica Papaya, Is Extensively Applied In Industrial, Pharmaceutical, Cosmetic, And Biomedical Applications. This Review Considers Current And Ancient Techniques Of Papain Extraction, Purification, Stabilizat...
Service Usage Classification With Encrypted Internet Traffic In Moblie Messaging Apps
The Rapid Adoption Of Mobile Messaging Apps Has Enabled Us To Collect Massive Amount Of Encrypted Internet Traffic Of Mobile Messaging. The Classification Of This Traffic Into Different Types Of In-App Service Usages Can Help For Intelligen...
YOUTUBE VIDEO SUMMARIZER USING MACHINE LEARNING
The Exponential Growth Of Video Content Platforms Like YouTube Pose Challenges For Users In Accessing And Consuming Relevant Content Efficiently. To Tackle This Issue, The Proposed System Applies Machine Learning And Natural Language Proces...
Medical Information Extraction In Research Constrained Environments
In Many Healthcare Facilities Across Low-resource Regions, Digital Infrastructure Is Either Underdeveloped Or Completely Absent. As A Result, Healthcare Providers Rely Heavily On Handwritten Medical Records To Document Patient Information,...
Brain Tumer Detection Using Machine Learning
Brain Tumors Result From The Abnormal And Uncontrolled Growth Of Cells. If Left Untreated During The Early Stages, They Can Become Life-threatening. Although Numerous Significant Advancements Have Been Achieved In This Field, Ensuring Accur...
AUTOMATED WORKFLOW MANAGEMENT IN DATA ENGINEERING USING ELT
Organizations Face Challenges In Managing Data From Various Sources, Including Databases, APIs, And External Platforms. Data Inconsistency, Redundancy, And Inefficiencies Hinder Effective Analysis. To Address These Issues, An ELT (Extract,...
MSBTE MARKSHEET EXTRACTOR
The MSBTE Marksheet Extractor Is A Flask-based Application Designed To Automate The Extraction And Processing Of Student Marksheets From PDF Files. Using Pdfminer For Text Extraction And Regex-based Parsing, It Retrieves Student Details, Ma...
Feature Engineering Based Human Brain Stroke Symptoms Prediction Using Machine Learning
Brain Stroke Is A Serious Health Issue That Requires Timely And Accurate Prediction For Effective Treatment And Prevention. This Study Described A Hybrid System That Used The Best Feature Selection Method And Classifier To Predict Brain Str...
Intelligent Malware Detection And Classification Using Correlation-based Feature Selection
Android Is The Most Popular Operating System For Smartphones And Small Devices With 86.6% Market Share. Its Open-source Nature Makes It More Prone To Attacks Creating A Need For Malware Analysis. Main Approaches For Detecting Malware Intent...
DEHAZING DESMOKING SYSTEM USING AL/ML
This Project Focuses On Developing An AI/ML-based System For Removing Haze And Smoke From Images, Enhancing Visibility In Adverse Environmental Conditions. Using Deep Learning Techniques, Particularly Convolutional Neural Networks (CNNs) An...
Early-Stage Oral Cancer Identification Using White Light Imaging And LightGBM Algorithm
Oral Cancer Is A Significant Public Health Concern Globally, With Early Detection Playing A Crucial Role In Improving Patient Outcomes. In This Project, We Propose A Novel Approach For Oral Cancer Detection Leveraging Deep Learning Techniqu...
CBIR: Enhancing Image Retrieval Through AutoEncoders And Metric-Based Search
The Exponential Growth Of Visual Data Demands Robust Content-Based Image Retrieval (CBIR) Systems That Ac- Curately And Efficiently Retrieve Relevant Images. In This Paper, We Present A Novel CBIR Framework That Integrates AutoEncoders For...
Design And Development Of A Feature-Extraction-Based Content-Based Image Retrieval System
Content-based Picture Retrieval From Vast Resources Has Recently Gained Popularity In A Variety Of Issues. This Thesis Introduces The Contend-based Image Retrieval System, Which Combines Colour, Shape, And Texture As Visual Cues To Characte...