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Papers tagged with "Tensorflow"
AIML-Based Quality Assurance System For Agricultural Products Using Tensorflow
Agricultural Product Quality Assessment Plays A Critical Role In The Global Food Supply Chain, Directly Impacting Market Pricing, Consumer Safety, And Post-harvest Optimization. Traditional Methods Rely Heavily On Human Vision And Manual So...
Automated AI System For Interview Fraud Analysis And Alerts
The Rapid Shift To Remote Hiring Has Created New Avenues For Interview Fraud. This Paper Presents An Automated AI System For Interview Fraud Analysis And Alerts, A Browser-native Web Application That Monitors Online Interview Sessions In Re...
Handwritten Digit Recognition Using Convolutional Neural Networks (CNN) On The MNIST Dataset
Handwritten Digit Recognition Is Crucial In Various Automated Tasks Like Financial Verification, Postal Sorting, And Digital Form Processing, Where Correctly Understanding Handwritten Numbers Is Key. This Study Looks At How Well Convolution...
Brain Tumor Detection And Classification With An Android App
Brain Tumor Detection Is A Critical Task In Medical Diagnostics, Requiring Accurate And Efficient Models To Classify Tumor Presence In MRI Scans. This Project Employs A Convolutional Neural Network (CNN) To Identify Tumors In Medical Images...
DIABETIC DETECTION USING MACHINE LEARNING
Now A Days Diabetes Has Become The Major Health Problem Among The People Of All Ages. The Main Problem In This Type Of Diseases Is Its Prediction. It Is Found That If Diabetes Is Detected At Early Stage, Then It Can Be Cured. So Early D...
SIGN LANGUAGE RECOGNITION USING TENSOR FLOW TECHNIQUE FOR PREDICTION AND DETECTION ANALYSIS
All Over The World, The Hearing And Speaking Impaired Person Communicate Through The Sign Language As It Is The Only Reliable Source Of Interaction With Themselves And As Well As With Normal People. This Language Is Mainly Made Up Of The Sh...
A SURVEY ON CLASSIFICATION OF ALZHEIMER DISEASE
The Alzheimer’s Disease Has Been Connected To A Deficiency In The Brain Neurotransmitter Acetylcholine.Alzheimer's Disease Is A Brain Disorder That Slowly Destroys Memory And Thinking Skills And, Eventually, The Ability To Carry Out The Sim...
IOT BASED COVID OR NORMAL CLASSIFICATION
The Presence Of Symptoms Of COVID-19 May Be Similar To Other Types Of Virals. Because Of This, It Can Be Difficult To Tell What’s Causing Your Condition Without Being Tested For COVID-19 Or Other Respiratory Infections To Determine How COVI...
THE FACE MASK & OXYGEN LEVEL DETECTION WITH SANITIZATION ENTRY SYSTEM FOR PREVENTING SPREAD OF COVID-19 VIRUS
In View Of The Current Pandemic And The Rapid Spread Of The COVID-19 Virus Along With Its Variants Like Delta & Omicron Viruses Resulted In Serious Health Issues Among People. Thus, There Needs To Be A Proper System In Place To Detect COVID...
COVID-19: DETECTION OF FACE MASK USING TOOLS LIKE OPENCV, KERAS/TENSORFLOW AND DEEP LEARNING
The COVID-19 Pandemic Is An Unparalleled Crisis Which Has Led To A Huge Number Of Casualties And Has Led To Security Problems. To Curb The Spread Of This Virus, People Are Suggested To Wear Masks Which Will Protect Them. But, These Masks Ma...
REal-time face mask recognition with voice alert using deep learning
- The Corona Virus COVID-19 Pandemic Is Causing Aglobal Health Crisis So The Effective Protection Methods Is Wearing A Face Mask In Public Areas According To The World Health Organization (WHO).The COVID-19 Pandemic Forced Governments Acros...
RASPBERRY PI BASED SMART CAP FOR VISUALLY IMPAIRED PEOPLE USING MACHINE LEARNING
The People Who Are Having Complete Blindness Or Low Vision Face Many Types Of Hurdles In Performing Every Day Routine Works. Blindness Can Occur Due To Many Reasons Including Disease, Injury Or Other Conditions That Limit Vision. Our Aim Is...
INTELLIGENT CHATBOT WITH RNN
A Chatbot Is An Intelligent System That Identifies The Input And Provides Output Based On The Provided Training Data. Recurrent Neural Networks Provide Continuous Context To A Conversation Which Allows Prediction Of Next Word. The Output Of...
CIRCULATED DEEP REINFORCEMENT LEARNING UTILIZING TENSORFLOW
Profound Reinforcement Learning Is The Mix Of Support Learning Calculations With Deep Neural System, Which Had Late Achievement In Learning Confounded Obscure Conditions. The Prepared Model Is A Convolutional Neural System Prepared Utilizin...