An AI-Driven One Health Platform for Simultaneous AMR Remediation and Renewable Biogas Optimization in Bangladesh
An AI-integrated wastewater treatment system designed as a System-of-Systems (SoS). It eliminates antibiotic-resistant pathogens and genes (ARB/ARGs) from agricultural and industrial effluent while simultaneously maximizing biogas yield—resolving Bangladesh's twin crises of renewable energy deficit and the "silent pandemic" of Antimicrobial Resistance (AMR) through a single, governance-ready platform.
Note: APTS-BioGrid is a strategic architectural extension of the AMR Precision Targeting System (APTS) research prototype (Conceptualized December 2025).
APTS-BioGrid integrates seamlessly into existing anaerobic digestion infrastructure as an intelligent, non-disruptive risk governance layer, operating across three core stages:
If you want something very simple and reliable:
| Stage | Module | Key Functions |
|---|---|---|
| Influent | F1: Diagnosis | Metagenomic screening, PDM, CGS, MRM |
| Reactor | F3: Remediation | Phagemids, ARDO co-culture, pathogen clearance |
| Effluent | Monitor Dashboard | LRV tracking, volumetric efficiency, public audit ledger |
Installed at the plant's influent stage, F1 replaces delayed culture-based assays with automated computational biology pipelines:
- Plasmid Dynamics Module (PDM): Evaluates Plasmid Copy Number (PCN) variations using quantitative sequence coverage depth to identify bacterial host metabolic vulnerabilities.
- Cryptic Gene Sensor (CGS): Deploys machine learning models to detect phenotypically "silent" resistance determinants prone to reactivation under reactor environmental stressors.
- Metabolic Reprogrammer (MRM): Maps down-regulated microbial nutrient pathways to predict exact structural interventions.
Operates directly inline with anaerobic digestion workflows to execute precision strikes against superbugs while accelerating methanogenesis:
- Targeted Neutralization: Deploys engineered non-lytic phagemids to cleave high-risk resistance plasmids (e.g., mcr-1, blaNDM-1).
-
Methane Yield Optimization: Employs Antibiotic Resistance-Diminishing Organisms (ARDOs) alongside native acetoclastic Methanosaeta consortia. Clearing toxic pathogen loads minimizes metabolic interference, allowing methanogenic archaea to thrive uninhibited, yielding a projected 15–25% increase in pure
$CH_4$ output.
Acts as an open-access, tamper-evident regulatory dashboard to monitor eco-governance:
- Transforms biological clearing data into definitive Log-Reduction Values (LRV).
- Cross-references total clean energy output with verified, decontaminated, ARG-free organic fertilizer volumes, enabling data compliance under Bangladesh's Environment Conservation Act 1995.
APTS-BioGrid natively operationalizes the holistic One Health nexus:
- Animal & Human Health: Intercepts livestock factory-farm antibiotic residues, halting the cycling of multi-drug resistant superbugs back into the human food chain via crop fertilizers.
- Environmental Health: Deploys advanced chitosan-alginate hydrogels and engineered biochar traps at the output line to capture residual free-floating ARGs, protecting soil microbiomes and groundwater tables.
- Sustainable Energy Matrix: Converts critical public health hazards into high-yield, standardized national energy assets.
- Months 1–2: Algorithmic Prototype Construction
- Map PDM and MRM data schemas in a Python pipeline.
- Train lightweight ML models against public genomic databases (CARD, ResFinder).
- Months 3–4: Baseline Bio-Surveillance Alignment
- Collate 10–20 baseline metagenomic profiles from local poultry/hospital effluent via university lab partnerships.
- Months 5–6: Dashboard & API Core Architecture
- Construct full-stack mockup interfaces (FastAPI backend with streamlit/figma UI) calculating real-time LRV.
- Months 7–8: Institutional Engagement & Funding
- Submit formal policy briefs to the Sustainable and Renewable Energy Development Authority (SREDA) and apply for seed validation tracks.
- Months 9–12: Pilot Site Deployment
- Install an active hardware/software node at a pilot biogas facility to empirically validate the targeted >80% ARG reduction and 15–25% methane enhancement.
Distributed under the MIT License. See LICENSE for more information.
Contact: Muhammad Tasnimul Hasan - alhasant99@gmail.com
Project Repository Link: https://github.com/hasa-arc/APTS-BioGrid.git
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### Option 2: Use a Mermaid Flowchart (Best for GitHub)
GitHub natively supports **Mermaid.js** diagrams. They render beautifully and never break.
**Example Mermaid code for your diagram:**
```mermaid
flowchart TD
A[Raw Feedstock Inflow<br/>Poultry, Dairy, Municipal Wastewater] --> B[Module F1: Genetic & Metabolic Diagnosis<br/>Gatekeeper]
B --> B1[Metagenomic screening<br/>CARD, ResFinder]
B --> B2[Plasmid Dynamics Module (PDM)<br/>PCN quantification]
B --> B3[Cryptic Gene Sensor (CGS)<br/>Silent genotypes]
B --> B4[Metabolic Reprogrammer (MRM)<br/>Disruption mapping]
B --> C[Calculated AMR Baseline<br/>& Metabolic Profile]
C --> D[Module F3: Biological Remediation<br/>Reactor]
D --> D1[Targeted non-antibiotic interventions<br/>Phagemids]
D --> D2[ARDO co-culturing<br/>Methanosaeta consortia]
D --> D3[Selective pathogen clearance<br/>Stress removal]
D --> E[Optimized Methane CH4]
D --> F[Certified AMR-Free Slurry]
E --> G[Remediation Monitor<br/>Eco-Governance Dashboard]
F --> G
G --> G1[Real-time Log-Reduction Values LRV]
G --> G2[Immutable volumetric efficiency<br/>& methane purity]
G --> G3[Public audit ledger<br/>Mitigating corruption]