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HabibLLMStudio/Africa-Offline-LLM-Studio

Domaine:

digital infrastructure

Type de record:

software
Créateur:
Hab
Hôte:
Offline AI Workspace for Africa | Built for the Africa Deep Tech Laptop LLM Challenge 2026 | Local AI Assistant with RAG, Offline Learning, Document Analysis, Voice Assistant and Secure AI Workspace. """ ========================================================= Africa Offline AI Studio Ollama API Connector Author: Habib Aliyu Yunus Challenge: Africa Deep Tech Laptop LLM Challenge 2026 Description ----------- Robust HTTP client connector communicating with local Ollama instances for offline inference generation with extended timeout thresholds and keep-alive caching. ========================================================= """ from __future__ import annotations import logging from typing import Any, Dict, Optional import requests ... # 🚀 Local LLM Studio ### Offline AI Workspace for Education, Software Development & Productivity > **Africa Deep Tech Laptop LLM Challenge 2026 Submission** --- ## 🌍 Overview Local LLM Studio is a professional offline Artificial Intelligence workspace that runs entirely on a standard laptop without requiring an internet connection, cloud services, or paid APIs. The application provides an intuitive ChatGPT-style interface powered by a locally running Large Language Model (LLM), enabling users to interact with AI securely and privately. Designed specifically for Africa and other low-connectivity environments, Local LLM Studio empowers students, teachers, developers, researchers, and professionals with accessible AI technology. --- # ✨ Features ### Current Features - ✅ Offline AI Chat - ✅ Local LLM Integration - ✅ FastAPI Backend - ✅ Professional Chat Interface - ✅ Conversation History - ✅ Local Storage - ✅ Responsive UI --- ### Upcoming Features - 📄 Chat with PDF - 📑 Chat with DOCX - 📊 Chat with CSV - 🧠 AI Memory - 🎤 Voice Assistant - 💻 Coding Assistant - 🌙 Dark Mode - ☀️ Light Mode - 📤 Export Conversations - 📥 Import Conversations - 📈 Analytics Dashboard - ⚡ Streaming Responses --- # 🖥 System Architecture ``` User ↓ Frontend (HTML • CSS • JavaScript) ↓ FastAPI Backend ↓ Local Large Language Model ↓ AI Response ``` --- # 📁 Project Structure ``` Laptop-LLM-Project/ backend/ frontend/ llm_models/ doc …