AI-Powered Smart Issue Triage & Auto-Resolution Assistant

In modern software development, teams face a huge number of issues, bugs, and tickets daily. Manually triaging and resolving them consumes time and delays productivity. We wanted to build an intelligent system that can automatically analyze, prioritize, and resolve issues to improve efficiency. 🔹 What it does This system uses AI to: Automatically classify incoming issues Assign priority levels (low, medium, high) Suggest possible fixes Auto-resolve repetitive or known issues Reduce developer workload and response time 🔹 How we built it Frontend using HTML and CSS AI logic using machine learning models Issue classification using NLP techniques Integrated rule-based automation for resolution Designed a simple and user-friendly interface 🔹 Challenges we ran into Training the model for accurate issue classification Handling different types of issue formats Ensuring reliable auto-resolution without errors Integrating AI with a simple UI 🔹 Accomplishments that we're proud of Successfully automated issue triage process Built a working prototype Reduced manual effort significantly Created a scalable solution for real-world use 🔹 What we learned Practical implementation of AI in real-world problems Working with NLP and automation Team collaboration and project management Importance of user-friendly design 🔹 What’s next Improve AI accuracy using advanced models Integrate with platforms like GitHub and GitLab Add real-time notifications Expand support for multiple programming environments

Built With

• a
• ai
• and
• automation
• classification
• css
• designed
• for
• frontend
• html
• integrated
• issue
• learning
• logic
• machine
• models
• natural-language-processing
• resolution
• rule-based
• simple
• techniques
• user-friendly
• using