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🌳 vriksha-os-core

The Intelligent Operating System for Natural & Vrikshayurvedic Farming.

Mission: To digitize 2,500 years of Indian plant wisdom into a scalable AI engine that solves crop diseases using local, organic resources and data-driven precision.


🛠️ System Architecture: The Acharya-Shishya Model

Vriksha-OS is built on a Master-Apprentice (Distillation) framework:

  1. Acharya (The Teacher): Powered by Gemini 3 Flash. Handles high-level diagnosis and "Synthetic Wisdom" extraction from ancient texts and global experts.
  2. Shishya (The Student): A custom, lightweight ML model designed to run locally on the farm once trained on 1,000+ verified "Ground Truth" rows.

🚦 Roadmap: Feature Status & Vision (2026)

Phase 1: Industrial Foundation (IN PROGRESS ⏳)

  • Master DB Connection: Established Google Sheets/Script bridge.
  • Acharya-Rotator: Automated switching between 5–10 Google Cloud Project keys to ensure zero downtime (prevents 429 Busy errors).
  • Assembly Line Folders: - /Tri_Pending: For raw, unprocessed field audits.
    • /Tri_Training_Data: For AI-labeled, sorted, and "Verified Gold" images.
  • Vriksha Knowledge Tab: A verified database of traditional remedies (Neem, Bitter Plants, Fish Waste) for cross-referencing.

Phase 2: Field Intelligence (PLANNED 🗓)

  • Field WebApp: 3-click mobile interface for GPS, Image, and Video capture.
  • Jala-Check (Mobile Water Lab): AI-powered "Bubble Test" and "Limescale Scan" to assess water hardness before diagnosis.
  • GPS/Soil Integration: Automatic soil-type tagging (Red, Black, Alluvial, Laterite) using Geospatial APIs.
  • Dynamic Pharmacy: Context-aware ingredient checklists that adapt based on the detected disease.

Phase 3: The Growth Loop (PLANNED 🗓)

  • Shruti (Knowledge Scraper): Automated YouTube transcript extraction + Comment Sentiment Analysis to find community-verified hidden gems.
  • Synthetic Linker: Automatically pairing YouTube "Text Wisdom" with existing library "Visual Photos."
  • Judge Dashboard: A UI to Approve/Edit prescriptions based on AI Confidence Scores.
  • Visual Recovery Bot: WhatsApp follow-ups + "Before/After" AI image comparison for auto-verification of treatments.

🏷️ Data Integrity & Source Tagging

To ensure high-value traceability for international AgTech buyers, every row is tagged:

  • Field-Real: Audits from Jayeone Farms & local partners. (Highest Value)
  • Scrape-Verified: Wisdom extracted via "Shruti" and matched against Vrikshayurveda PDFs.
  • Synthetic-AI: Logic scenarios generated to bridge data gaps for rare diseases.

🛡️ Core Guardrails

  • The 85% Confidence Rule: Automatic fallback to Acharya (Teacher) if Shishya (Student) confidence is low.
  • Water Salinity Correction: Automatic modification of remedies (e.g., swapping milk for buttermilk) in high-salt soil conditions.
  • The Bitter Principle (Tikta): Prioritizing non-chemical, high-bitterness plants for pest and virus immunity.

Developed by TriAiiag. Built in Anantapur, India. Scaling for the World.

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Vertical Agnostic Inventory Engine for Jayeone Farms. Built on Triaiiag OS.

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