🚀 Coding Assistant Pro
Coding Assistant Pro is a domain-specific AI assistant designed to provide high-quality programming support. This project was developed as part of an M.Tech CSE research initiative to demonstrate strict logical filtering and technical accuracy in AI-driven development tools.
🛠️ Project Goals
- Domain Strictness: The model is constrained to respond only to Computer Science and Programming queries.
- Accuracy: Provides line-by-line code explanations and identifies specific logic errors in buggy code.
- Efficiency: Utilizes Meta's Llama-3.1-8B-Instruct via the Hugging Face Serverless Inference API for low-latency performance without high hardware costs.
📝 Model Behavior Rules
- Programming Queries: Returns detailed explanations and complete code blocks.
- Correct Code Analysis: Performs a line-by-line technical walkthrough.
- Bug Identification: Identifies specific line numbers and explains the root cause of errors.
- Out-of-Domain Filter: Returns "I have no knowledge" for any non-technical or non-CS topics.
🚀 Technical Implementation
- Frontend: Streamlit 1.51.0
- Backend: Hugging Face Inference API (
huggingface_hub) - Model: Meta-Llama-3.1-8B-Instruct
- Environment Management: Python-dotenv for secure local credential storage
📜 License
This project is licensed under the MIT License.
Model tree for nandishovan59/codding_assistence
Base model
meta-llama/Llama-3.1-8B
Finetuned
meta-llama/Llama-3.1-8B-Instruct