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