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rashdiwsl/sinhala-garden-chatbot

Domain:

natural language processing

Record type:

software
Creator:
ras
Host:
Sinhala-first offline AI chatbot for home gardening using a hybrid approach (knowledge base + local LLM via Ollama). Built with Streamlit, optimized for low-resource machines. # 🌿 ගෙවතු වගා AI සහායක ### Sinhala Home Gardening Chatbot — Hybrid AI + Fully Offline (Ollama) --- ## 📌 Overview A **Sinhala-first AI chatbot** designed for **home gardening (ගෙවතු වගාව)** that runs completely **offline** using a hybrid AI approach. ### 💡 Core Idea: Instead of relying only on an LLM, this system combines: - ⚡ **Rule-based knowledge base** → fast, accurate answers - 🧠 **Local LLM (Ollama + Gemma)** → handles complex queries - 🔍 **Validation layer** → ensures Sinhala-only output & quality ✅ Built for **low-resource machines (4GB RAM)** ✅ No internet required after setup --- ## 📸 Screenshots ### 🖥️ Chat Interface ### 📊 Sidebar & Quick Questions ## 🚀 Features | Feature | Description | |--------|------------| | 🇱🇰 Sinhala Only | Strict Sinhala input/output | | ⚡ Hybrid AI | Knowledge base + LLM fallback | | 🔁 Retry Logic | Fixes bad AI outputs | | 🧠 Validation Layer | Detects repetition & wrong language | | 💬 Chat UI | Clean modern interface | | 📌 Quick Prompts | Predefined questions | | 📴 Offline Mode | Works without internet | ## ⚙️ Installation ```bash # Clone repo git clone github.com cd YOUR_REPO # Install dependencies pip install -r requirements.txt # Start Ollama ollama serve # Run model ollama run gemma3:1b # Run app streamlit run app.py ```` --- ## 🧠 Core Logic ### 1. Knowledge Base Matching * Checks Sinhala keywords (e.g., මිරිස්, තක්කාලි) * Returns instant answers ### 2. LLM Fallback * Uses Ollama API locally * Sends recent chat context ### 3. Output Validation * Ensures Sinhala language * Detects repetition issues ### 4. Retry Mechanism * Re-generates better responses automatically --- ## 📊 Model Options | Model | Size | RAM | Use Case | | ----------- | ----- | ----- | ---------------- | | gemma3:1b ✅ | 815MB | 3–4GB | Best for low-end | | gemma2:2b | 1.6GB | 4GB | Balanced | | gemma3:4b | 3.3GB | 6GB+ | Higher quality | --- ## …