UniFriendAI

🎓 UniFriendAI

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🚀 AI Learning Assistant for Undergraduate Information Technology Students

Built on Mistral-7B-Instruct and fine-tuned for BSc IT, BTech IT, and related undergraduate computing programmes.

⭐ Designed for Semester 1 & Semester 2 learning.

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🌟 Overview

UniFriendAI is a fine-tuned educational Large Language Model (LLM) developed to support undergraduate Information Technology students.

Unlike general-purpose chatbots, UniFriendAI focuses on foundational university-level computing subjects, providing beginner-friendly explanations, programming assistance, study notes, revision material, quizzes, and academic guidance.

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🎯 Target Users

👨‍🎓 BSc Information Technology Students

👩‍🎓 BTech Information Technology Students

💻 Computer Science Students

🏫 Universities

🎓 Higher Education Institutes

👨‍🏫 Lecturers

📚 Self Learners

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📚 Academic Coverage

✅ Programming Fundamentals – Variables

✅ Python Loops

✅ Functions

✅ Arrays

✅ Object-Oriented Programming Basics

✅ Computer Architecture

✅ Operating System

✅ OSI Model

✅ IP Addressing

✅ SQL

✅ Normalization (1NF, 2NF, 3NF)

✅ ER Diagrams

✅ Software Development Life Cycle (SDLC)

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✨ Features

✅ Beginner-Friendly Explanations

✅ Programming Assistance

✅ Assignment Guidance

✅ Quiz Generation

✅ Exam Preparation

✅ Study Notes

✅ Code Explanation

✅ Bug Detection

✅ Algorithm Explanation

✅ Academic Question Answering

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🧠 Model Information

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💻 Individual / Student Requirements

⚙️ Minimum (CPU Only)

Perfect for budget laptops.

Performance

🐢 2–5 words/sec

Close Chrome, Discord and other heavy applications for best performance.

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🚀 Recommended

Best experience for most students.

Performance

⚡ 12–20 words/sec

Ollama automatically shares memory between RAM and GPU for smooth inference.

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🔥 High Performance

For enthusiasts and power users.

Performance

🚀 35–50+ words/sec

Entire model fits into GPU memory for ultra-fast inference.

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🏫 Institutional Deployment

UniFriendAI is suitable for deployment in universities, colleges, schools, and training institutes.

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🖥 Recommended Server

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🔐 Production Features

✅ API Keys

✅ JWT Authentication

✅ OAuth Support

✅ HTTPS

✅ SSL/TLS

✅ Rate Limiting

✅ Request Logging

✅ Analytics Dashboard

✅ User Management

✅ Role-Based Access Control (RBAC)

✅ Multi-Tenant Support

✅ Response Caching

✅ Conversation History

✅ Monitoring

✅ Backup & Recovery

✅ Docker Deployment

✅ Kubernetes Ready

✅ LMS Integration

✅ Moodle Integration

✅ Blackboard Integration

✅ Canvas LMS Integration

✅ PDF Knowledge Base

✅ Retrieval-Augmented Generation (RAG)

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🔌 Compatible Software

• Ollama

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📦 Repository Contents

• GGUF Model
• Model Configuration
• Tokenizer
• README
• License

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⚠ Disclaimer

UniFriendAI is intended for educational purposes only.

Although fine-tuned for undergraduate Information Technology education, the model may occasionally generate inaccurate or outdated information.

Always verify important academic content using official university lecture notes, textbooks, and trusted educational resources.

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❤️ Mission

Our mission is to make high-quality AI tutoring accessible to every Information Technology student by providing an intelligent, affordable, and locally deployable educational assistant.

Happy Learning! 🎓

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👨‍💻 Developer

UniFriendAI was independently developed and fine-tuned by Jehan Kandy to support undergraduate Information Technology education through accessible and locally deployable artificial intelligence.

🌐 Connect

• GitHub: https://github.com/BackendExpert
• Hugging Face: https://huggingface.co/jehanweerasuriya
• LinkedIn: https://www.linkedin.com/in/jehanweerasuriya/
• Website: https://blackalphalabs.com/

🤝 Contributions

Contributions, feature requests, bug reports, and educational collaborations are welcome.

If UniFriendAI has been helpful in your learning journey, consider ⭐ starring the repository and sharing it with fellow students.

Developed with ❤️ by Jehan Weerasuriya