ART Finder123

Designed With 😇 :

• Aws
• Express
• Git
• Github
• Html
• JavaScript
• Nginx
• Nodejs
• Postman
• Py
• React
• Redux

ART Finder is an innovative tool designed to revolutionize the research phase of ad creation by automating data gathering and analysis. It harnesses insights from multiple platforms like Google, YouTube, Reddit, and app reviews to identify user pain points and triggers. By analyzing competitor ads, it uncovers high-performing hooks, CTAs, and content formats. The tool generates actionable insights, providing marketers with the essential data to craft user-centric, effective ads. ART Finder streamlines the ad creation process, enabling businesses to stay ahead with data-driven strategies and impactful advertising.

GitHub Link 🔗

• https://github.com/Pavan0228/Level-SuperMind-Hackathon

Deploy Link 🔗

• http://15.206.229.167/

Problem it solves 🙅‍♂️

• ART Finder is an innovative tool designed to revolutionize the research phase of ad creation by automating data gathering and analysis. It harnesses insights from multiple platforms like Google, YouTube, Reddit, and app reviews to identify user pain points and triggers. By analyzing competitor ads, it uncovers high-performing hooks, CTAs, and content formats. The tool generates actionable insights, providing marketers with the essential data to craft user-centric, effective ads. ART Finder streamlines the ad creation process, enabling businesses to stay ahead with data-driven strategies and impactful advertising.

Challenges I ran into 🙅‍♂️

• Developing ART Finder faced several challenges, starting with collecting and integrating data from diverse sources like YouTube, Reddit, and Play Store, which required robust scraping and API management. Cleaning and preprocessing this varied data involved handling unstructured text and filtering noise using NLP techniques. Extracting actionable insights was complex due to the nuances of sentiment analysis and context in user-generated content. Analyzing competitor ads required automated tools for trend identification, while ensuring the system was scalable and reliable posed infrastructure challenges. Additionally, maintaining data privacy and compliance with legal standards was crucial. Customizing insights for specific industries like Lenskart required domain-specific tailoring, and presenting the data effectively necessitated intuitive visualizations and actionable reports. Despite these hurdles, ART Finder aims to streamline ad creation with automated, data-driven insights.