International Journal of Science, Engineering and Technology
29th & 30th November 2025, Jaipur, India
| Proceeding | Important Dates | Call for Paper | Registration | Contact-Us |
Registration Call for Papers
- DOI: 10.61463
- ISBN: 978-93-49355-39-2
- E-ISSN: 2348-4098
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Important Dates for Paper/Document Submission & Registration
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- Registration starts from 25th November
- Conference Date: 29th -30th November- 2025
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AI Healthcare Assistant: Integrating Symptom-Based Chatbot, Medical Image Analysis, And Real-Time Vitals Monitoring For Comprehensive Disease Prediction
Authors: Vishal Rajak, Vishal Kushwaha, Mayank Gautam, Kamlesh Chaurasiya, Ms. Sakshi Rastogi
Abstract: Healthcare systems worldwide face challenges in accessibility, early diagnosis, and patient monitoring. This paper presents an integrated AI Healthcare Assistant that combines natural language processing (NLP), deep learning for medical image analysis, and signal processing for real-time vitals de- tection. The system implements: (1) a symptom-based chatbot using TF-IDF vectorization and Naive Bayes classification for disease prediction, (2) convolutional neural networks for chest X-ray analysis supporting classification of Normal, Pneumonia, COVID-19, and Tuberculosis, and (3) photoplethysmography (PPG) signal processing for non-contact heart rate, respiratory rate, and stress level monitoring. Built on Streamlit with role- based access control for doctors, patients, and administrators, the platform provides automated treatment recommendations, confidence scoring, and comprehensive health analytics. Eval- uation on benchmark datasets demonstrates 91% accuracy for symptom classification, 93% for X-ray classification, and 95% for vitals detection. The system is deployable in resource-constrained settings and supports telemedicine workflows.
DOI: http://doi.org/10.5281/zenodo.17825915
Comparative Physico-Chemical Analysis Of Tapti River Water At, Betul Dist. MP, India
Authors: Dipti Kodle, Dr. Bilquees J. Khan
Abstract: In the present study water sample of Tapti River from two different sites Theska (near Barahlinga) and bridge near NH has been physicochemically evaluated for its suitability for domestic and irrigation purposes. In Physical and Chemical Parameters Such as Temperature, turbidity, pH, Conductivity, T.D.S., Alkalinity, Total hardness, Chloride, Nitrate and Dissolve Oxygen, were analyzed in the laboratory. The Physico Chemical parameters of water were determined as per standard methods of APHA (20012). The results indicate that the Tapti River water quality is suitable and safe for domestic and irrigation purposes.
DOI: http://doi.org/10.5281/zenodo.17827056
Seasonal Variation In Heavy Metal Concentration In Telfairia Occidentalis Leaves In Ibeno Local Government Area, Akwa Ibom State
Authors: Odimgbe, Ezekiel Izudike, Erienu Obruche Kennedy, Onwugbuta Godpower Chukwuemeka, Njor Oru Ogar, Clark Poro David, Alani Olubukola Anuoluwapo, Essiet Akanimo Gordon, Apuyor Kingsley Efe
Abstract: The concentrations of heavy metals in the Ibeno Local Government Area of Akwa Ibom State, Nigeria were examined. This study employed an experimental design methodology. In December 2024 and June 2025, fifteen composite samples of Telfairia occidentalis leaves were collected. The leaf samples underwent washing with de-ionized water, were dried to a constant weight in an oven at 105 °C, and then pulverized to achieve a 2 mm mesh size for subsequent analysis. The ground leaves were digested using 1.0 cm3 of concentrated HClO4, 5 cm3 of concentrated HNO3, and 0.5 cm3 of concentrated H2SO4 in a 50 cm3 Kjeldahl flask. The concentration of heavy metals was determined using Atomic Absorption Spectroscopy. The data were analyzed based on the first-order kinetic model InC = InCo – kt. The concentrations of heavy metals (mg kg-1) during the dry season were: Mn (7.73 ± 3.06), Fe (5.93 ± 1.28), V (0.16 ± 0.26), Cd (0.21 ± 0.16), Ni (0.02 ± 0.01), while during the wet season, they were: Mn (7.75 ± 3.76), Fe (5.96 ± 4.07), V (0.21 ± 0.09), Cd (0.19 ± 0.06), Ni (0.03 ± 0.06). The results indicated that the concentrations of heavy metals varied between the wet and dry seasons. The mean concentrations of certain heavy metals (Ni, V, Pb, Zn, and Co) in the leaves of Telfairia occidentalis fell within the acceptable range of WHO standards for vegetables and food products, with the exception of Cd, Fe, and Mn. In conclusion, Telfairia occidentalis can serve as a resident indigenous plant bioindicator for monitoring anthropogenic influences of V, Pb, Mn, and Zn in the soil of the study area.
DOI: http://doi.org/10.5281/zenodo.17600209