Chatbots

Intelligent Assistants for Aromatic and Medicinal Plants

Two conversational AI systems designed to support producers, researchers and markets.

Our Applications
Rule-Based Chatbot

HerbMedBot — Aromatic and Medicinal Plants

A rule-based assistant for 10 aromatic and medicinal plants of Greece

HerbMedBot uses a structured rule-based system (if-then logic) and decision trees to answer questions about aromatic and medicinal plants. It is suitable for producers who need immediate, structured and unambiguous information.

  • Botanical characteristics and plant classification
  • Cultivation, irrigation and fertilization guidance
  • Harvest seasonality and yield per hectare
  • Uses in the food, fragrance and pharmaceutical industries
  • Quality standards and certifications (organic, PDO/PGI)
  • Management of crop diseases and pests
If-Then Rules Decision Tree Knowledge Base Pattern Matching Python/AIML
Available
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NLP-Based Chatbot

OreBot — Oregano Expert

An NLP-powered intelligent assistant with specialized knowledge of Greek oregano

OreBot uses natural language processing (NLP) technologies and machine learning to understand complex free-text questions. It focuses exclusively on oregano (Origanum vulgare), providing in-depth scientific knowledge and market analysis.

  • Phytochemistry and bioactive compounds (thymol, carvacrol)
  • Pharmacological properties and clinical studies
  • Essential oils: extraction, quality and certification
  • Market trends and export opportunities
  • Comparison of oregano varieties and geographical indications
  • Free-form natural language questions (Greek/English)
NLP Intent Detection NER Transformer Models RAG Pipeline
Available
Comparison

HerbMedBot vs OreBot

Feature 🌿 HerbMedBot (Rule-Based) 🔬 OreBot (NLP-Based)
Technology If-Then rules, Decision Trees NLP, Machine Learning, Transformers
Subject Area 250+ aromatic plants (general) Oregano — specialized knowledge
Query Type Structured questions, keywords Free text, natural language
Response Accuracy Very High (within rule coverage) High (ML-based)
Flexibility Limited High
Scientific Depth Moderate High
Response Speed Immediate Very Fast
Suitable For Producers, agronomists, farmers Researchers, exporters, businesses
Languages Greek, English Greek, English
Process

How They Work

Step 1

Question Submission

The user types a question in Greek or English. No special syntax is required — natural language or keywords are sufficient.

Step 2

Analysis & Understanding

HerbMedBot identifies keywords and applies predefined rules. OreBot analyzes meaning through NLP and detects the user’s intent.

Step 3

Knowledge Base Search

The system searches a curated knowledge base that includes scientific sources, agronomic data and market-related information.

Step 4

Response Generation

The answer is generated in clear language, with optional sources, links or suggestions for related questions.