An Innovative AI-Driven & Cloud Based Platform for Farmers: Enabling Plant Diseases Identification, Tracking, and Forecasting S. M. P. Qubeb M. Lakshmi Sreya Reddy Boda Ajay Shaik Muskan V Bhavana Sai S. M Ibrahim R. M Gayaz B Mahendranath Volume 4, Issue 2, Pages 1-5, February 2025 Plant conditions are a major trouble to growers, consumers, terrain and the global frugality. In India alone, 35 of field crops are lost to pathogens and pests causing losses to growers. Indiscriminate use of fungicides is also a serious health concern as numerous are poisonous and biomagnified. These adverse goods can be avoided by early complaint discovery, crop surveillance and targeted t... Read More Article DOI: doi.org/10.47001/ICJES/2025.402001
Automated Diabetes Risk Assessment Using Machine Learning Algorithms G. Swathi A. Swathi M. Tharun Kumar Reddy M. Sravanthi S. Yatheesha P. Vikram Simha Reddy A. Prashanth Volume 4, Issue 2, Pages 6-11, February 2025 Diabetes Mellitus is among critical diseases and lots of people are suffering from this disease. Age, obesity, lack of exercise, hereditary diabetes, living style, bad diet, high blood pressure, etc. can cause Diabetes Mellitus. People having diabetes have high risk of diseases like heart disease, kidney disease, stroke, eye problem, nerve damage, etc. Current practice in hospital is to colle... Read More Article DOI: doi.org/10.47001/ICJES/2025.402002
Enhanced Automated Curative System for Auxiliary Brain Tumor Detection Using ML Techniques J. Raghunath S. Fairoz M. Lavanya T. Chennakesava Reddy N. Divya P.R. Gururaj V.N. Krishna Vamsi B. Bharath Kumar Volume 4, Issue 2, Pages 12-17, February 2025 Brain tumors remain a critical health challenge, where early detection and effective treatment significantly improve survival rates. However, patients in rural or underdeveloped areas often face limited access to specialists, leading to delayed diagnoses and worsening conditions. Traditional methods like MRI scans and biopsies are time-consuming, expensive, and dependent on expert analysis. ... Read More Article DOI: doi.org/10.47001/ICJES/2025.402003
ML-Based Prediction of Cardiovascular Disease S.Nagaraju Yekkala Keerthana C.Geetha Telkar Bhoomika Sonali Kandimalla Jayanth Pyapili Janvesli Sasarla Jeevan Kumar P.Naveen Volume 4, Issue 2, Pages 18-23, February 2025 Cardio Vascular Disease (CVD) is the most well-known perilous infection around the world the greater part of the populaces bites the dust every year from Cardio Vascular Disease (CVD) than from some other ailment. A degree of 17.9 million individuals passed on from Cardio Vascular Disease (CVD) in, thinking about 31% of every single worldwide demise. Of these deaths, 85% are because of heart ... Read More Article DOI: doi.org/10.47001/ICJES/2025.402004
Recommendation System for Marketing with Sentimental Analysis Based on Customer Product Reviews Using ML Algorithms S.M.P Qubeb V. Yuvarajachari B. Fayal Khan J. Srividya M. Sameena Begum S. Venkatesh G. Vamsidhar Reddy S. Venkatesh Volume 4, Issue 2, Pages 24-30, February 2025 In the modern digital era, online reviews significantly shape consumer opinions and purchasing behavior. E-commerce platforms such as Amazon and Flipkart enable users to share their experiences, offering future buyers valuable insights into product performance. To effectively analyze the vast number of reviews, it is essential to categorize them based on sentiment—positive or negative. This... Read More Article DOI: doi.org/10.47001/ICJES/2025.402005
Smart Drug Recommendation System for Healthcare Using ML Techniques J. Raghunath H. Touseen G. Priyanka G. Sumanth Reddy G. Sireesha T. Rajesh Reddy M. Yogananda Reddy Volume 4, Issue 2, Pages 31-36, February 2025 The increasing burden on the healthcare system—exacerbated during pandemics like COVID-19—has exposed the urgent need for intelligent clinical decision support tools. This project proposes a smart drug recommendation system using Machine Learning (ML) and Natural Language Processing (NLP). The system leverages sentiment analysis on patient reviews to determine drug efficacy and predict t... Read More Article DOI: doi.org/10.47001/ICJES/2025.402006
