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Field kit
Site, GPS, time, pH, temperature, DO, conductivity/TDS, turbidity and visual notes.
physical observationA SOURCE-FIRST AQUATIC INTELLIGENCE SYSTEM
The lake has measurements.
It deserves a memory.
TraceIT keeps environmental measurements, field observations, biodiversity context, evidence, interpretation and action in one longitudinal record — with AI used only where it adds signal.
LIVE RESEARCH RECORDRJ · MSL · 01
MAN SAGAR LAKEJaipur, Rajasthan4 fixed sites · Nov 2019 — Feb 2020
Latest measured periodFEB 2020
Published observations16
Sampling sites04
WHY A RECORD?
Numbers are snapshots.
Patterns are history.
One water-quality value can tell you what was measured. A longitudinal record can show what changed, where it changed, how reliable the evidence is, and what someone should do next.
02 · THE SYSTEM
Six ways TraceIT remembers.
AI is one component. The system works without it.
◌
Citizen signals
People can report odour, foam, colour, algae, litter, fish mortality and other visible changes.
candidate evidence∑
Scientific record
Published measurements stay immutable, provenance-linked and queryable by site and period.
source data⌁
Statistics + rules
Threshold screening, EWMA, PCA, clustering, change detection and validation run before ML.
deterministic layer◒
Machine learning
Temporal anomaly modelling adds a second opinion to structured evidence; it never rewrites the record.
probabilistic layer→
Action memory
Field protocols, interventions, follow-up observations and outcomes become part of the record.
decision layer03 · HOW IT THINKSEvidence first.
Evidence first.
Inference second.
01Observemeasurement or citizen signal
02Validateunits, range, provenance, duplicates
03Analyserules → statistics → ML
04Actprotocol, intervention, follow-up
FIELD
DATA
EVIDENCE
ACTION
TraceIT
record
record
04 · SOURCE REGISTER