SaaS Platform
Rate My Creative
Collaborator: Rolling Adz
Ongoing
Project Summary
Rolling Adz is a marketing agency based in the USA that wanted to develop a SaaS product to rate design creatives using advanced technological capabilities. The project aimed to evaluate designs based on contrast, recall, and copy engagement, providing expert-like recommendations through computer vision and AI.
Technologies Used
Challenges
The primary challenge was to create a system capable of analyzing design elements and providing reliable ratings and recommendations akin to those given by expert designers. Integrating computer vision technologies and large language models (LLMs) for generating recommendations required careful calibration. Additionally, integrating the client-provided unique rating score formulas added to the complexity of the project.
Solutions
- Computer Vision Technologies: Applied advanced computer vision techniques to analyze design elements such as contrast and recall.
- AI-Driven Recommendations: Leveraged OpenAI LLM models to generate design recommendations, simulating the insights of expert designers.
- Custom Rating Formulas: Integrated the client-provided formulas for calculating design scores to ensure the ratings were tailored to their specific criteria.
- Technology Stack: Utilized Django Rest Framework for backend development, AWS S3 for storage solutions, Heroku for deployment, PostgreSQL for database management, and React Js for the frontend. Stripe was integrated for handling any potential monetization aspects.
Results and Impact
The internal tool has significantly streamlined the design evaluation process for Rolling Adz, providing quick and consistent ratings and recommendations. This has improved the efficiency of their creative review process and allowed for data-driven decision-making.
“The Rate My Creative tool has revolutionized our design review process. The AI-generated recommendations are incredibly insightful and save us a lot of time. Kudos to the development team!”
Rolling Adz Team
Learning and Takeaways
This project underscored the importance of integrating AI with domain-specific knowledge to create powerful tools. The use of custom formulas provided valuable insights into tailoring technology solutions to client needs.
Future Scope
Enhancing response quality by exploring different LLM technologies like Retrieval-Augmented Generation (RAG).
- Integrating fine-tuning settings to enhance user experience.:
- Reducing reliance on paid API usage to optimize costs.: