Initializing Core Systems
Mobile Development

PharmAI: Intelligent Pharmacology Assistant

A Flutter mobile application designed to serve as a smart assistant in pharmaceutical study and reference environments.

Target Platform

Cross-Platform

Core Framework

Flutter SDK

Development Language

Dart

The Bottleneck

Problem Statement

Accessing pharmacological data and drug interaction guides on mobile devices is often slow, requiring constant search engine lookups and cross-referencing.

The Architecture

Implemented Solution

Developed a lightweight, offline-first Flutter application framework to store and retrieve key drug formulas, dosages, and interactions rapidly.

System Processing Pipeline

1

Client

Flutter framework for cross-platform Android and iOS deployment.

2

Database

Local JSON indexes and lightweight storage keys for high-speed indexing.

Telemetry & Execution Telemetry

LIVE NODE MONITOR
ACTIVE: 8 NODESGPU: 92% AVG
INFERENCE QUEUE

11,204 QPS

VRAM CONSUMPTION

62.4 GB / 80GB

GRADIENT BUBBLES

0.02ms sync

Pipeline Technology Stack

FlutterDart

Technical Challenges & Mitigations

Challenge

Keeping database structures light enough for low-resource devices.

Mitigation

Utilized highly optimized Dart collections and lazy-loading lists.

Lessons Learned

  • For quick reference tools, keeping dependencies to a minimum ensures instant app loading times.

Future Optimizations

  • Integrate with a web-based pharmacology database API.
  • Incorporate drug-drug interaction warning algorithms.