# danish-m-qureshi/my-backup-advanced-predictive-analytics architecture

> Architecture diagram of the GitHub repository danish-m-qureshi/my-backup-advanced-predictive-analytics, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-29). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/danish-m-qureshi/my-backup-advanced-predictive-analytics
- Repository: https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics

## Overview

BirdCLEF+ 2026 is an autonomous research agent that uses a local LLM to generate and run bird-audio model experiments, compare results, and export a Kaggle submission. Its main loop is orchestrated across prompt/context assembly, code validation and sandbox execution, metric capture, and iterative analysis; fixed audio/data components and a model catalog support generated training code. The dashboard provides monitoring and controls. Some edges reflect the README’s documented architecture because the relevant implementation excerpts were not provided.

Main entry points: [`agent/orchestrator.py`](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/orchestrator.py) (Experiment Orchestrator), [`agent/context_handler.py`](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/context_handler.py) (Prompt Context), [`agent/ui/app.py`](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/ui/app.py) (Dashboard Routes), [`agent/executor.py`](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/executor.py) (Sandbox Executor)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_agent["Experiment Agent"]
  node_orchestrator["Experiment Orchestrator<br/>[orchestrator.py]"]
  node_context["Prompt Context<br/>[context_handler.py]"]
  node_prompts["Prompt Templates<br/>[prompt_engine.py]"]
  node_validation["Code Validation<br/>[validate_code.py]"]
  node_executor["Sandbox Executor<br/>[executor.py]"]
  node_metrics["Metric Capture<br/>[capture_metrics.py]"]
  node_submission["Kaggle Export<br/>[submission.py]"]
end

subgraph group_data["Audio and Models"]
  node_audio["Audio Preprocessing<br/>[audio_pipeline.py]"]
  node_profile["Dataset Profile<br/>[dataset_profile.py]"]
  node_loader["Training Data Loader<br/>[data_loader.py]"]
  node_architectures["Model Architectures<br/>[models.py]"]
  node_registry["Model Registry<br/>[registry.py]"]
end

subgraph group_observability["Study Records"]
  node_memory[("Experiment Memory<br/>[memory.py]")]
  node_logging[("Study Logs<br/>[logger.py]")]
  node_report["Study Report<br/>[report.py]"]
end

subgraph group_dashboard["Dashboard"]
  node_dashboard["Dashboard Routes<br/>[app.py]"]
  node_ui_loaders["Study Browser<br/>[loaders.py]"]
  node_process_manager["Process Controls<br/>[process_manager.py]"]
end

node_researcher(("Researcher"))
node_llm(("Local LLM"))
node_training["Training Code"]

node_researcher -->|"starts study"| node_orchestrator
node_orchestrator -->|"builds prompts"| node_context
node_context -->|"fills templates"| node_prompts
node_context -->|"sends context"| node_llm
node_orchestrator -->|"requests generation"| node_llm
node_orchestrator -->|"validates code"| node_validation
node_orchestrator -->|"runs experiment"| node_executor
node_executor -->|"executes code"| node_training
node_training -->|"loads datasets"| node_loader
node_training -->|"uses models"| node_architectures
node_orchestrator -->|"captures results"| node_metrics
node_orchestrator -->|"records experiments"| node_memory
node_orchestrator -->|"logs tasks"| node_logging
node_orchestrator -->|"generates report"| node_report
node_orchestrator -->|"uses catalog"| node_registry
node_context -->|"adds model details"| node_registry
node_audio -.->|"profiles dataset"| node_profile
node_loader -->|"augments samples"| node_audio
node_orchestrator -->|"exports best model"| node_submission
node_researcher -->|"monitors studies"| node_dashboard
node_dashboard -->|"reads study data"| node_ui_loaders
node_dashboard -->|"controls runs"| node_process_manager
node_dashboard -->|"requests export"| node_submission

click node_orchestrator "https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/orchestrator.py"
click node_context "https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/context_handler.py"
click node_prompts "https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/prompt_engine.py"
click node_validation "https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/handlers/validate_code.py"
click node_executor "https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/executor.py"
click node_metrics "https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/handlers/capture_metrics.py"
click node_memory "https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/memory.py"
click node_logging "https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/logger.py"
click node_report "https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/report.py"
click node_audio "https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/pipelines/audio_pipeline.py"
click node_profile "https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/pipelines/dataset_profile.py"
click node_loader "https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/pipelines/data_loader.py"
click node_architectures "https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/pipelines/models.py"
click node_registry "https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/registry/registry.py"
click node_submission "https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/submission.py"
click node_dashboard "https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/ui/app.py"
click node_ui_loaders "https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/ui/loaders.py"
click node_process_manager "https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/ui/process_manager.py"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_orchestrator,node_context,node_prompts,node_validation,node_executor,node_metrics,node_submission toneBlue
class node_audio,node_profile,node_loader,node_architectures,node_registry toneAmber
class node_memory,node_logging,node_report toneMint
class node_dashboard,node_ui_loaders,node_process_manager toneRose
class node_researcher,node_llm,node_training toneIndigo
```

## Components

### Experiment Agent

- [Experiment Orchestrator](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/orchestrator.py): `agent/orchestrator.py`
- [Prompt Context](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/context_handler.py): `agent/context_handler.py`
- [Prompt Templates](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/prompt_engine.py): `agent/prompt_engine.py`
- [Code Validation](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/handlers/validate_code.py): `agent/handlers/validate_code.py`
- [Sandbox Executor](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/executor.py): `agent/executor.py`
- [Metric Capture](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/handlers/capture_metrics.py): `agent/handlers/capture_metrics.py`
- [Kaggle Export](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/submission.py): `agent/submission.py`

### Audio and Models

- [Audio Preprocessing](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/pipelines/audio_pipeline.py): `pipelines/audio_pipeline.py`
- [Dataset Profile](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/pipelines/dataset_profile.py): `pipelines/dataset_profile.py`
- [Training Data Loader](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/pipelines/data_loader.py): `pipelines/data_loader.py`
- [Model Architectures](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/pipelines/models.py): `pipelines/models.py`
- [Model Registry](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/registry/registry.py): `registry/registry.py`

### Study Records

- [Experiment Memory](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/memory.py): `agent/memory.py`
- [Study Logs](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/logger.py): `agent/logger.py`
- [Study Report](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/report.py): `agent/report.py`

### Dashboard

- [Dashboard Routes](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/ui/app.py): `agent/ui/app.py`
- [Study Browser](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/ui/loaders.py): `agent/ui/loaders.py`
- [Process Controls](https://github.com/danish-m-qureshi/my-backup-advanced-predictive-analytics/blob/danish_development/agent/ui/process_manager.py): `agent/ui/process_manager.py`

### Other components

- **Researcher**
- **Local LLM**
- **Training Code**

## Connections

- Researcher → Experiment Orchestrator: starts study (evidence: `README.md`)
- Experiment Orchestrator → Prompt Context: builds prompts (evidence: `README.md`)
- Prompt Context → Prompt Templates: fills templates (evidence: `agent/context_handler.py`)
- Prompt Context → Local LLM: sends context (evidence: `README.md`)
- Experiment Orchestrator → Local LLM: requests generation (evidence: `README.md`)
- Experiment Orchestrator → Code Validation: validates code (evidence: `agent/orchestrator.py`)
- Experiment Orchestrator → Sandbox Executor: runs experiment (evidence: `README.md`)
- Sandbox Executor → Training Code: executes code (evidence: `README.md`)
- Training Code → Training Data Loader: loads datasets (evidence: `README.md`)
- Training Code → Model Architectures: uses models (evidence: `README.md`)
- Experiment Orchestrator → Metric Capture: captures results (evidence: `README.md`)
- Experiment Orchestrator → Experiment Memory: records experiments (evidence: `README.md`)
- Experiment Orchestrator → Study Logs: logs tasks (evidence: `README.md`)
- Experiment Orchestrator → Study Report: generates report (evidence: `README.md`)
- Experiment Orchestrator → Model Registry: uses catalog (evidence: `README.md`)
- Prompt Context → Model Registry: adds model details (evidence: `agent/context_handler.py`)
- Audio Preprocessing → Dataset Profile: profiles dataset
- Training Data Loader → Audio Preprocessing: augments samples (evidence: `pipelines/data_loader.py`)
- Experiment Orchestrator → Kaggle Export: exports best model (evidence: `README.md`)
- Researcher → Dashboard Routes: monitors studies (evidence: `README.md`)
- Dashboard Routes → Study Browser: reads study data (evidence: `agent/ui/app.py`)
- Dashboard Routes → Process Controls: controls runs (evidence: `agent/ui/app.py`)
- Dashboard Routes → Kaggle Export: requests export (evidence: `agent/ui/app.py`)