AdAi

Description :

AD-AI (Automated Research and Trigger Finder)

1. Purpose
2. • Designed to streamline the ad creation process.
   • Automates data gathering, analysis, and insights generation 📊.
2. Data Sources
3. • Blogs.
   • Forums:
   • • Reddit.
     • Quora.
   • Social Media Platforms.
   • App Reviews.
   • YouTube Videos 🎥.
   • Competitor Ads.
3. Insights Generation
4. • Identifies:
   • • User pain points.
     • Psychological triggers.
     • High-performing strategies 🚀.
   • Generates actionable suggestions:
   • • Hooks.
     • Call-to-Actions (CTAs).
     • Solutions tailored to the target audience 🎯.
4. Dashboard Features
5. • User-friendly interface:
   • • Provides direct links to relevant resources like YouTube videos and competitor ads.
     • Real-time insights generation ⏱️.
   • Visualizations include:
   • • Graphs 📉.
     • Word clouds 🌐.
     • Sentiment analysis 😊😞.
5. Input System
6. • Allows users to input:
   • • Topics.
     • Brand guidelines.
     • Audience details.
6. Technology Stack
7. • Natural Language Processing: Powered by Langflow 🤖.
   • Data Management: Uses DataStax 🗂️.
   • Backend Automation: Built with Node.js ⚙️.
   • Frontend Development: Leveraging Next.js 🖥️.
7. Benefits
8. • Automates extensive research processes.
   • Provides detailed, data-driven recommendations.
   • Enables marketers to create user-centric ads e

GitHub Link 🔗

• https://github.com/PrabhuAnpat20/AdAi

Deploy Link 🔗

• https://ad-ai2.vercel.app/

Problem it solves 🙅‍♂️

• Challenges Solved : AD-AI : Addressing Key Marketing Challenges Marketing Solutions 💡 Automates the research phase. Helps marketers quickly identify: Effective hooks. Call-to-Actions (CTAs). Strategies tailored to their audience 🎯. Peer Insights 👥 Analyzes competitor ads and strategies. Uncovers: Trends in the market. User pain points. Helps users better understand market dynamics 📊. Strategy Analysis 🔍 Provides a comprehensive review of: High-performing ad content. Multiple platforms' ad data. Enables marketers to refine their approach 💪. Custom Chatbot 🤖 Delivers industry-level marketing guidelines. Provides: Real-time advice. Best practices based on market trends 📈. Peer Industry Marketing Analysis 🏢 Examines strategies from related sectors. Ensures marketers can: Adapt insights from other industries. Improve their own campaigns 🚀.

Challenges I ran into 🙅‍♂️

• Challenges Faced: Data Generation Challenges 📄 Removed unnecessary components from the dataset to generate clean and usable data 🧹. RAG Flow Development Issues 🔄 Encountered multiple challenges with ASTRADB collections during the development of the RAG (Retrieval-Augmented Generation) flow. These issues were resolved effectively through a systematic and persistent approach ✅. Frontend Integration Difficulties 🌐 Faced challenges in integrating LangFlow with the frontend due to CORS restrictions 🚧. Successfully identified and implemented a robust solution to overcome this issue 🛡️. Troubleshooting Solutions: Implemented thorough debugging 🐞. Made significant backend optimizations ⚙️. Managed API keys properly 🔑 and adjusted configurations. Ensured seamless integration of tools for smooth system operation 🧑‍💻.