PROCODER - Multi-Programming Code Assistant

PROCODER is an end-to-end AI-powered coding assistant application designed to help developers generate, debug, and optimize code in multiple programming languages.

Built using CodeLlama and LLaMA2 models, the application connects with the Ollama API to deliver context-aware code completions and solutions.

The frontend is developed with Gradio, providing an easy-to-use interface for users to input prompts, view generated results, and maintain a continuous conversation history.

This project demonstrates expertise in AI model integration, REST API communication, and interactive tool development for developer productivity.

• Integrated CodeLlama and LLaMA2 models with Ollama API for AI-driven code generation
• Developed interactive Gradio-based interface with support for multi-turn conversations
• Implemented conversation history tracking for better context-aware responses
• Designed error-handling mechanisms to manage failed API responses
• Focused on supporting multiple programming languages for diverse developer needs
• Optimized request handling and response parsing using Python Requests and JSON
• Delivered a scalable AI-powered coding assistant tool for personal and professional use

Gradio UI

Interactive Gradio-based user interface for entering prompts and viewing AI-generated code outputs.

Prompt History

Maintains conversation history to provide context-aware responses from the model.

Code Generation

Generates optimized, multi-language code snippets tailored to user queries.