Smart India Hackathon (SIH) 2025 Submission
AquaNexa is an AI-enabled digital platform that integrates heterogeneous marine datasets across oceanography, fisheries, taxonomy, otolith morphology, and molecular biology (eDNA). It unifies fragmented datasets into a single, intelligent marine data lake, enabling advanced analytics, real-time dashboards, and ecosystem-based decision support for scientists, policymakers, and fisheries managers.
India’s Centre for Marine Living Resources and Ecology (CMLRE) collects diverse datasets ranging from physical oceanography (temperature, salinity, pH, oxygen, chlorophyll) to biological data (fish abundance, taxonomy, otolith images, eDNA sequences). Currently, these datasets are siloed and incompatible, limiting cross-domain research and policy insights.
AquaNexa bridges this gap by:
- Automated Ingestion & Standardization of CSV, NetCDF, FASTA, and image formats
- AI-Powered Analysis: Morphometrics, DNA matching, and predictive modeling
- Interactive Dashboards: Real-time visualization of biodiversity and ecosystem health
- Cross-Domain Insights: Correlating ocean parameters with fish distribution & biodiversity
- Secure APIs & Natural Language Queries for open, accessible marine knowledge
This implementation directly aligns with the problem statement:
✅ Unified Marine Data Lake – Standardized, scalable storage (MongoDB Atlas + HDF5)
✅ Cross-domain Correlation Analysis – Physics + Biodiversity + Fisheries + Policy
✅ AI Modules – Otolith shape analysis, eDNA species matching, fish migration prediction
✅ Interactive Visualization – Plotly.js dashboards & risk assessment tools
✅ APIs & NLQ – REST APIs + AI chatbot for natural language exploration
✅ Policy Outputs – Automated briefs, Ocean Health Checker, & decision-ready insights