SmartPR is an innovative AI-powered code review assistant designed to revolutionize the software development workflow. It addresses the critical need for efficient, consistent, and insightful code feedback by automating the pull request review process on GitHub. Our application leverages cutting-edge AI technology, integrating powerful LLMs (from Novita.ai) and. This allows SmartPR to go beyond surface-level checks, identifying potential bugs, suggesting optimizations, ensuring adherence to coding standards, and even offering refactoring advice. Key features include: - Automated code analysis for pull requests. - Intelligent feedback and suggestions from multiple AI models. - Detection of security vulnerabilities and performance bottlenecks. - Integration with GitHub for seamless workflow. - Contextual understanding of the entire codebase for smarter recommendations. NOTE : Using demo data just becuase trae was unable to link the novita and zilliz SmartPR enhances developer productivity by accelerating the review cycle, freeing up human reviewers for more complex architectural discussions, and improving overall code quality. It reduces human error, provides immediate actionable insights, and fosters a culture of continuous improvement within development teams. The entire SmartPR application has been built and developed using Trae AI IDE. Trae's deep context understanding, multi-agent system, and seamless integration with top AI models were instrumental in rapidly prototyping and developing core functionalities, particularly for the AI-powered review agents and the overall application structure. Trae significantly accelerated our development process, allowing us to focus on the core problem of intelligent code review.
Category tags:An AI-driven tool that reviews GitHub pull requests in real-time, providing clear and intelligent code feedback using Groq-accelerated LLaMA models and the BLACKBOX.AI Coding Agent.
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"While the idea is great but the main requirement of showing the demo built using Trae was not demonstrated anywhere in the submission. Good luck."
Muhammad Inaamullah
ML Engineer
An AI-driven tool that reviews GitHub pull requests in real-time, providing clear and intelligent code feedback using Groq-accelerated LLaMA models and the BLACKBOX.AI Coding Agent.
innoventors-blackbox-track
Flowrish AI helps students think better, not less. It guides reflection instead of giving answers—strengthening minds, not replacing them. Offline-first on Snapdragon X Elite, with LLaMA 3 locally and Groq online. Because learning should grow you.
42AI Qualcomm Track
Amagi is a proactive AI assistant that sees your screen, listens, remembers, and helps you stay focused—designed to run across devices with real-time context awareness
The Monad (AI-Smith Protocol) -Vultr Track
An AI-powered shopping assistant built with FastAPI, Groq API (LLaMA models), and Neo4j knowledge graph for personalized e-commerce experiences
Hackcelerate - Prosus Track
A privacy-focused toolkit for real-time screen OCR and audio transcription on any PC, combining universal image text extraction, audio-to-text, and fast local semantic search—powered by Edge AI and Groq API.
Illuminative Lab - Qualcomm Track