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AutoQuest: Intelligent Question Generation From Online Content
AutoQuest Is A Web-based Application Which Gives Automatic Multiple-choice Questions (MCQs) FromPDF, TXT, DOCX Files, And YouTube Videos. The Application Is Developed Using Flask And Python. AutoQuest Utilizes Google Gemini 2.0 Flash Model...
E VOTING SYSTEM BASED ON BLOCKCHAIN AND FACE RECOGNITION SYSTEM
Ensuring Secure, Transparent, And Tamper-proof Elections Is Critical In Modern Democracies. This Paper Proposes A Novel E-voting System That Combines Blockchain Technology And Face Recognition-based Biometric Authentication To Build A Robus...
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...
A Deep Learning Driven Approach For Automated Identification And Classification Of Defects In Printed Circuit Boards
In The Fast-paced Electronics Manufacturing Industry, Ensuring The Quality Of Printed Circuit Boards (PCBs) Is Essential For Producing Reliable And High-performance Devices. Traditional Methods For PCB Defect Detection, Such As Manual Visua...
Vehicle Insurance Fraud Detection System
Concern Over Insurance Fraud In The Machine Sedulity Is Growing, As It Can Affect In Significant Financial Losses And Advanced Decorations For Law- Abiding Policyholders. This Study Offers A Machine Knowledge- Predicated System For Further...
WABBLE: INTEGRATED PRODUCTIVITY AND RESOURCE MANAGEMENT SYSTEM
Modern Life Requires Individuals To Maintain A Balance Among Numerous Responsibilities, Often Resulting In Exhaustion And Diminished Productivity. Frequent Transitions Between Multiple Applications And Digital Tools Further Deplete Motivati...
Impact Of Multitasking On Employee Productivity And Job Satisfaction: A Comparative Study Of Different Age Groups With Special Reference To Ciel Hr Services Ltd, Chennai
In Today’s Dynamic Work Environment, Multitasking Has Become A Common Practice Aimed At Enhancing Efficiency. However, Its Impact On Employee Productivity And Job Satisfaction Remains Inadequately Understood, Particularly When Considering T...
Personalized Medicine Recommending System
This Research Presents A Web-based Disease Prediction System, Deployed On Render, Utilizing Machine Learning To Diagnose Diseases Based On User-reported Symptoms. The System Employs An XGBoost Model, Trained On A Medical Dataset, To Predict...
RURAL DEVELOPMENT THROUGH SMART FARMING
This Paper Presents A Web-based Platform Designed To Bridge The Gap Between Farmers And Consumers By Eliminating Intermediaries In The Agricultural Supply Chain. The System, Developed Using HTML, CSS, And Python (Flask), Provides A Transpar...
Heart Disease Prediction Using Machine Learning with Flask
Heart Disease Is A Major Cause Of Death Worldwide. Early Diagnosis And Treatment Can Improve Outcomes For Patients. Machine Learning Techniques, Particularly The Decision Tree Algorithm, Have Shown Great Promise In Aiding The Diagnosis And...
A STUDY FOCUSED ON EMPLOYEE PERCEPTION TOWARDS MULTI TASKING AT SAFE TECHNOLOGIES
The Executive Summary Of The Study Report On "Employees' Perception Towards Multitasking At Safe Technologies Palakkad" Provides A Concise Overview Of The Study's Key Findings And Implications. The Study Aimed To Investigate How Multitaskin...
PERFORMANCE ENHANCEMENT OF VIDEO SURVEILLANCE IN FORTIFYING BANKING SECURITY THROUGH DARKNET ANALYSIS
This Research Paper Is On The Application Of Non-linear Neural Networks, YOLOv5, Object-detection Framework With The Darknet Architecture To Design A Standout Intelligent Video Image Processing And Monitoring Control System That Increases E...
PET ANIMAL DISEASE PREDICTION USING MACHINE LEARING ALGORITHM
The Main Objective Of The Project Is To Identify And Predict Diseases In Pet Animals Based On Their Symptoms. Disease Prediction Is A Machine Learning Based System Which Primarily Works According To The Symptoms Given By A User. The Disease...
AUTOMATIC QUESTION AND ANSWER GENERATION BY USING NLP AND FLASK FRAMEWORK
In The Evolving Landscape Of Natural Language Processing (NLP), The Demand For Automated Systems Capable Of Generating Relevant Questions From Textual Data Has Grown Substantially. This Research Introduces An Innovative Approach Leveraging...
Task scheduling using enhanced sunflower optimization in cloud environment
The Abstract Commences By Introducing The Importance Of Task Scheduling And The Obstacles Associated With It. It Emphasizes The Necessity For Effective Optimization Methods To Tackle The Complexities Arising From Elements Such As Task I...