• Akhil S S
• Arunima S Arun
• Sameena S
• Aleena S R
• Sherin wilson

Abstract With the addition of a new predictive feature, LiverGuard, an innovative web-based platform for monitoring and protecting liver health, is about to see a major upgrade. By predicting the potential type of liver disease a person may have, this feature enables proactive health management and individualised interventions. Using an extensive dataset that covers a range of liver disorders, such as cirrhosis, fatty liver disease, liver cancer, and hepatitis, the platform uses cutting-edge machine learning algorithms for categorization. The LiverGuard predictive model exhibits robustness and accuracy in identifying different types of liver illness through thorough data preparation, model selection, training, and validation.This new function, which is easily integrated into the platform's user-friendly interface, enables users to input their health data and receive forecasts regarding the health state of their liver. By introducing this capability, LiverGuard moves closer to its goal of transforming liver health management by providing users with tailored suggestions and actionable information for their best possible health.

1. LiverGuard 2. Predictive feature 3. Liver health monitoring 4. Proactive health management 5. Machine learning algorithms 6. Liver disorders 7. User-friendly interface 8. Wearable technology 9. Continuous monitoring 10. Quality of life

"LIVER GUARD EARLY DETECTION PLATFORM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.l559-l560, April-2024, Available :http://www.jetir.org/papers/JETIR2404B74.pdf

"LIVER GUARD EARLY DETECTION PLATFORM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppl559-l560, April-2024, Available at : http://www.jetir.org/papers/JETIR2404B74.pdf