AgentHack submission type
Enterprise Agents
Name
Khushi Mhamane
Team name
System 32
Team members
@Sharon_Melhi @Dominic_Joseph @Peeyush_Rampal
How many agents do you use
One agent
Industry category in which use case would best fit in (Select up to 2 industries)
Healthcare Pharma
Complexity level
Intermediate
Summary (abstract)
Agentic Health Companion is a Python-powered automation solution designed to improve medication adherence and health monitoring, especially for the elderly. It combines smart reminders, real-time tracking, an AI chatbot, and automated compliance reporting to transform manual, error-prone healthcare routines into a proactive, intelligent, and personalized digital care system.
Detailed problem statement
Elderly patients frequently miss medications, appointments, or tests due to forgetfulness. Current solutions — such as manual reminders, Excel logs, and phone alarms — are static, repetitive, and prone to human error. There’s no adaptive system that learns, alerts caregivers of missed doses, or provides instant, accurate medical information. This results in:
- Poor health outcomes and delayed interventions
- Increased hospitalization risks
- Caregiver burnout from manual tracking
- Lack of centralized, intelligent health assistance
The growing elderly population and fragmented care workflows demand a scalable, intelligent automation system that ensures proactive, personalized care.
Detailed solution
We developed a Python-based health automation system that delivers intelligent, agentic healthcare support. Key components include:
- Data Upload & Storage: Patient details imported via Excel/CSV and stored in a structured SQLite database.
- Automated Reminders: Scheduled scripts send timely, personalized SMS/Email reminders using Twilio or SMTP.
- Intake Tracking: Patients confirm medicine intake via web links or chatbot interactions; responses are logged in real-time.
- LLM Chatbot (Gemini API): Offers instant answers to medical questions (e.g., side effects, dosage gaps).
- Compliance Reporting: Weekly reports are auto-generated and sent to caregivers/doctors, enabling oversight.
- UiPath Integration: Bridges Python logic with RPA, enabling GUI workflows, legacy system interaction, and orchestration.
The solution is modular, scalable, and designed for real-time, user-friendly healthcare automation.
Demo Video
Expected impact of this automation
Our solution brings measurable benefits across several healthcare dimensions:
Impact Area
Medication Adherence-Increased on-time dose intake, reducing health complications.
Time Saved-5–10+ hours/week saved for caregivers via automated tracking & reporting.
Caregiver Relief- Reduces repetitive tasks, lowering caregiver stress and fatigue.
Health Monitoring - Enables early intervention through historical adherence data.
Engagement -Patients feel supported via AI chatbot and smart notifications.
Scalability -Quick onboarding of new patients via Excel import; expandable architecture.
ROI- Lowered hospitalization, better compliance, reduced manual admin costs.
This intelligent assistant bridges the gap between static tools and dynamic, proactive care, with potential for broad adoption in elder care, clinics, and home health services.
UiPath products used (select up to 4 items)
UiPath Studio
Integration with external technologies
Python, AWS, Firebase
Agentic solution architecture (file size up to 4 MB)
Sample inputs and outputs for solution execution
Sample input:
Losartan/Ibuprofen/Paracetamol → What is the side effect ? / What is the allergic reaction to taking this medicine ? / What are some tips or precaution to tale care of ? / What will happen if i skipped this medicine ?
Sample output:
What medicine are you taking ? → What do you want to know about the medicine ? → (Based on the input given by user) → Side effect / Tips / Allergic Reaction / What if skipped ?