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IOT BASED PREDICTION OF NUTRIENTS (N.P.K) IN SOIL
Because It Indicates How Effectively The Soil Can Sustain Plant Growth In Agriculture, Soil Fertility Is A Crucial Component In Determining The Quality Of The Soil. An Arduino Board With A Soil Sensor Can Be Used To Swiftly Ascertain The So...
STUDENT MANAGEMENT SYSTEM USING TKINTER
This Abstract Presents By Creating A Student Management System Using Tkinter To Facilitate The Efficient Management Of Student Data Within Educational Institutions. By Designing The Graphical User Interface (GUI) Using Tkinter To Create Win...
DEVELOPMENT OF AUTOMATIC SPEED SENSING OF VEHICLE USING ARDUINO
We As A Whole Realize That Over Speed Is The Significant Reason For Street Mishaps. In This Bustling Life Plan, Individuals Generally Really Like To Drive At Very Speed Instead Of Lowing Rate To Come To Their Which Would Be Utilized As A Sp...
A DATA-DRIVEN APPROACH TO PLANT SUGGESTIONS USING SOIL HEALTH AND FOOD PRICE DATA
This Research Introduces A Data-driven Framework For Suggesting Suitable Plants By Analyzing Soil Health And Food Prices. It Aims To Enhance Agricultural Decision-making By Integrating These Factors. Through Data Collection, Preprocessing,...
DESIGN, FAILURE ANALYSIS AND OPTIMIZATION OF PROPELLER SHAFT BY ANSYS
Drive Shafts, Driving Shafts, Tail Shafts, Propeller Shafts, And Cardan Shafts Transfer Torque And Rotation To Drive Train Components That Are Too Far Apart Or Moving. Drive Shafts Experience Torque And Load-related Torsion And Shear Stress...
A SURVEY ON RECOGNIZING SIGN LANGUAGE USING DEEP LEARNING
Effective Communication Hinges On The Exchange Of Information, Ideas, And Emotions, Necessitating A Shared Language. For Individuals With Speech Impairments, Sign Language Serves As A Vital Means Of Communication, But A Lack Of Understandin...
CARDIOVASCULAR DISEASES PREDICTION ANALYSIS USING MACHINE LEARNING ALGORITHMS
Cardiovascular Diseases(CVDs) Remain A Leading Global Cause Of Morbidity And Mortality. Early Detection And Accurate Risk Assessment Are Crucial For Effective Prevention And Intervention. This Study Presents A Comprehensive Machine Learning...
A REVIEW ON IMAGE DENOISING FILTERING TECHNIQUES USING DEEP LEARNING
Image De-noising Is A Fundamental Task In Image Processing That Aims To Remove Noise From Images While Preserving Their Visual Quality. Noise Can Be Introduced Into Images Due To Various Factors Such As Low-light Conditions, Sensor Limitati...
DRONE, INFORMATION AND CROP: A COMPUTATIONAL APPROACH TO ACCURACY HORTICULTURE
The Horticulture Industry Is On The Brink Of A Mechanical Insurgency, Driven By The Integration Of Ramble Swarms Prepared With Progressed Sensors And Fake Insights (AI) Capabilities. This Term Paper Investigates The Transformative Potential...
ETHICAL IMPLICATIONS OF AI-GENERATED MUSIC ART & LITERATURE
As Man-made Consciousness (computer Based Intelligence) Keeps On Propelling, Its Imaginative Capacities Have Led To Another Wilderness Of Simulated Intelligence Created Music, Workmanship, And Writing. This Exploration Report Digs Into The...
A study on reference group of influence affecting the choosing the education institutions.
This Research Explores The Significant Influence Of Reference Groups On The Decision-making Process Of Individuals When Selecting Educational Institutions. Reference Groups, Including Family, Friends, Peers, And Media, Play A Vital Role In...
CANCER PREDICTION USING NAIVE BAYES THEOREM
Cancer Prediction Plays A Crucial Role In Improving Patient Outcomes By Enabling Early Diagnosis And Intervention. This Study Presents A Novel Approach To Cancer Prediction Using The Naive Bayes Algorithm, A Well-established Probabilistic C...
A COMPARATIVE ANALYSIS BASED ON HUMAN-AI COLLABORATION
The Advent Of Artificial Intelligence (AI) Has Transformed The Landscape Of Human-machine Interaction, Leading To Unprecedented Opportunities For AI-human Collaboration. This Abstract Explores The Dynamic Synergy That Arises From Combining...
EARLY STAGE ALZHEIMER’S DISEASE DETECTION USING MACHINE LEARNING
Alzheimer's Disease, A Form Of Dementia That Primarily Affects Older Adults, Is A Major Public Health Concern Worldwide. The Use Of Machine Learning To Identify Metabolic Disorders Such As Alzheimer's And Diabetes Is A Rapidly Growing Area...
AGILE PRIORITY INDEX: A FORMULA-BASED APPROACH FOR FEATURE PRIORITIZATION
In The Fast-paced And Ever-changing World Of Software Development, Effectively Deciding Which Features To Work On First Is Crucial To Ensure That The Most Valuable And Impactful Functionalities Are Delivered To Users In A Timely Manner. Thi...