International Science Community Association Research Journal of Recent Sciences 15 3 2026 07 2 A Web-based multi-disease Prediction framework using Machine learning approaches 86 90 EN Sahu Suresh 1 Government Engineering College, Ajmer, Rajasthan, India Kumar Vinod 1 NTPC Energy Technology Research Alliance (NETRA), Plot No. E-3, Ecotech-II, Udyog Vihar, Greater Noida -201306, Uttar Pradesh, India Aggarwal Akanksha 2 NTPC Energy Technology Research Alliance (NETRA), Plot No. E-3, Ecotech-II, Udyog Vihar, Greater Noida -201306, Uttar Pradesh, India Kulshershtha Amit 3 NTPC Energy Technology Research Alliance (NETRA), Plot No. E-3, Ecotech-II, Udyog Vihar, Greater Noida -201306, Uttar Pradesh, India Kumar Manish 4 NTPC Energy Technology Research Alliance (NETRA), Plot No. E-3, Ecotech-II, Udyog Vihar, Greater Noida -201306, Uttar Pradesh, India Kumar Shanta 5 NTPC Energy Technology Research Alliance (NETRA), Plot No. E-3, Ecotech-II, Udyog Vihar, Greater Noida -201306, Uttar Pradesh, India Tripathi Raj Kumar 6 NTPC Energy Technology Research Alliance (NETRA), Plot No. E-3, Ecotech-II, Udyog Vihar, Greater Noida -201306, Uttar Pradesh, India Saini Yashwant Kumar 7 NTPC Energy Technology Research Alliance (NETRA), Plot No. E-3, Ecotech-II, Udyog Vihar, Greater Noida -201306, Uttar Pradesh, India Gupta Shyam Manohar 8 NTPC Energy Technology Research Alliance (NETRA), Plot No. E-3, Ecotech-II, Udyog Vihar, Greater Noida -201306, Uttar Pradesh, India Ram Anshu Beulah 1 Department of Biotechnology, Nrupathunga University, Nrupathunga Road, Bangalore, Karnataka 560001, India Kour Gurshish 2 Clinical Microbiology Division, Indian Institute of Integrative Medicine (CSIR), Canal Road, Jammu 180 001, India P. Priya 1 Department of PG studies in Biotechnology, Nrupathunga University, Bengaluru, Karnataka, India P.R. Druthi 2 Department of PG studies in Biotechnology, Nrupathunga University, Bengaluru, Karnataka, India M. Jeevitha 3 Department of PG studies in Biotechnology, Nrupathunga University, Bengaluru, Karnataka, India Kabhade Sarina P. 4 Department of PG studies in Biotechnology, Nrupathunga University, Bengaluru, Karnataka, India Stella Bhupanapadu Sunkesula Mary 5 Insearch Laboratory, Bengaluru, Karnataka, India M. Jeevitha 1 Department of Biotechnology, Nrupathunga University, Bengaluru, Karnataka, India P.R. Druthi 2 Department of Biotechnology, Nrupathunga University, Bengaluru, Karnataka, India P. Priya 3 Department of Biotechnology, Nrupathunga University, Bengaluru, Karnataka, India Kabhade Sarina P 4 Department of Biotechnology, Nrupathunga University, Bengaluru, Karnataka, India Stella Bhupanapadu Sunkesula Mary 5 Insearch Laboratory, Bengaluru, Karnataka, India P. Rajeshwari 1 Government Science College, Chitradurga, Karnataka, India Raveesha K.A. 2 Life Sciences, JSS Academy of Higher Education and Research (JSSAHER) Mysuru, Karnataka, India B. Kavitha 1 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India Shetty Chandana R 2 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India R. Pavithra 3 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India V. Vanaja 4 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India Varshini Vidhya 5 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India N. Anuroopa 1 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India R. Prajwal 2 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India M. Kishore Rao 3 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India C. Deepika 4 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India M. Jayashree 5 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India P. Rashmi 6 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India N. Hithyshi 1 Department of Post-Graduate Studies in Zoology, Nrupathunga University, Bengaluru, India B.C. Shashikanth 2 Department of Post-Graduate Studies in Zoology, Nrupathunga University, Bengaluru, India D.A. Uday Kumar 3 Department of Post-Graduate Studies in Zoology, Nrupathunga University, Bengaluru, India H.M. Mohan Kumar 4 Department of Post-Graduate Studies in Zoology, Nrupathunga University, Bengaluru, India S. Priya 1 Department of Computer Science, Government First Grade College, Domlur Shanthi Nagar, Bengaluru, India Urs Bharathi Shettahalli Nagaraje 1 Department of Mathematics, Government Science College, Chitradurga, Karnataka, India Gonasagi Pushpalata 1 Department of Computer Science, Govt. First Grade College Mahagaon Cross, Kalaburagi, Karnataka, India L.A. Priyanka 1 St Pauls College, Bangalore, Karnataka, India C. Subramani 2 GFGC and PG centre Shankaranarayana, Udupi, Karnataka, India > Research Paper 2026 4 12 2026 07 2 The increasing reliance on data-driven technologies in healthcare has created new opportunities for developing intelligent systems capable of supporting early disease identification. Rather than relying solely on conventional diagnostic procedures, machine learning techniques enable the analysis of complex medical datasets to uncover latent patterns associated with disease progression. In this work, a web-based multi-disease prediction framework is developed to estimate the likelihood of diabetes, heart disease, and Parkinson’s disease using supervised machine learning algorithms. The system is implemented in Python and deployed via the Streamlit framework to ensure accessibility and ease of use. Logistic Regression, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Random Forest classifiers are trained and evaluated using standard medical datasets. Model performance is assessed using accuracy, precision, recall, and F1-score metrics. Experimental observations indicate that ensemble-based approaches provide more consistent and robust predictions across datasets. The developed framework demonstrates the practical feasibility of integrating machine learning models into lightweight web applications for preliminary disease risk assessment and clinical decision support. Copyright@ International Science Community Association