TrackPilot - AI-Powered Automated UX Platform
TrackPilot leverages AUX (Automated User Experience) methodology to automate repetitive design tasks and predict project timelines. Using AI-driven intelligence, it optimizes usability without manual intervention. Reduced manual processes by 75% and increased team velocity by 65%.
Platform: Web, SaaS | Tech: React, Python, TensorFlow | Role: AUX Lead & Product Designer
Platform: Web, SaaS | Tech: React, Python, TensorFlow | Role: AUX Lead & Product Designer
www.arrit.portfolio/projects/trackpilot - Cached
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Impact Metrics: 75% Manual Task Reduction
| Manual Task Reduction: | 75% |
| Task Automation: | 90% |
| Decision Speed: | +80% |
| Team Efficiency: | +65% |
| Dev Time: | 4 Months |
Key Features - TrackPilot
Workflow Automation Engine handles repetitive UX synthesis and testing.
Predictive Time Intelligence uses ML to forecast project timelines.
Real-time Adaptation optimizes interfaces based on user behavior.
Continuous Learning System improves recommendations with every project.
www.arrit.portfolio/projects/trackpilot/features - Cached
Development Timeline (Archives)
Month 1 (Research): AUX methodology foundation and behavioral pattern analysis.
Month 2 (Architecture): AI/ML system design and data pipeline setup.
Month 3 (Core Dev): Building the automation engine and predictive models.
Month 4 (Validation): Pilot testing with real UX teams and refinement.
www.arrit.portfolio/projects/trackpilot/process
Challenges Overcome
Maintaining design quality while scaling automation. Building accurate predictive models requiring substantial training data. Integrating seamlessly with existing UX tools like Figma and Adobe XD.