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AI-Powered Research Aggregation and Advanced Analytics Platform for Livestock Health

softwaremind.com

Agriculture

Food & Beverage

Biotech and Life Sciences

Challenge

The client faces significant challenges in staying current with the rapidly evolving research landscape related to livestock health. Manually sifting through vast amounts of research papers is time-consuming, inefficient, and hinders proactive decision-making. Additionally, they need advanced analytics to identify trends and patterns related to fish diseases in Atlantic salmon production.

About the Client

An international organization dedicated to monitoring and analyzing livestock health data to improve animal well-being and operational efficiency for its client organizations.

Goals

Improve the efficiency of research information gathering and analysis.
Reduce the workload on scientific staff by automating research aggregation.
Enhance innovation by streamlining the integration of research into practical applications.
Develop a robust Business Intelligence platform for detailed analysis of fish diseases (e.g., sea lice) in Atlantic salmon production.
Enable data-driven decision-making regarding livestock health management.

System Functionality

AI-powered research aggregation using a fine-tuned GPT3 model.
Advanced analytics for identifying trends and patterns in livestock health data.
Interactive dashboards and reports for visualizing research insights and disease trends.
Customizable data filtering and search capabilities.
Alerting system for critical health events.
Integration with existing data sources (e.g., Azure SQL).
User access control and security features.

Technology Preferences

Power Apps

Power Automate

Azure SQL

Power BI

GPT3 (Fine-tuned Model)

External Integrations

Azure SQL Database
Potential integration with external research databases (e.g., PubMed, Web of Science) via APIs.

Non-Functional Requirements

Scalability to handle a growing volume of research data.
High performance for rapid data processing and report generation.
Robust security measures to protect sensitive livestock health data.
User-friendly interface for easy navigation and data exploration.
Reliable and consistent data delivery.

Expected Business Value

This project is expected to significantly improve the client's operational efficiency, reduce costs associated with manual research efforts, enhance innovation through faster access to research insights, and ultimately contribute to improved livestock health and safety, leading to cost savings and enhanced competitiveness.