
Product Guru
70%
FindCoder AI-Powered Review (Beta)
Product Advertisement AI
Designed With 😇 :
Flask Py React
Product Guru
Product Guru is an AI-driven product advertisement analytics demo website designed to showcase the potential of leveraging advanced technologies for advertising insights. Developed as a prototype in just 7 hours, it highlights key functionalities and ideas for further expansion.
Features
Data Aggregation
- Collects data from platforms such as Reddit, YouTube, and more.
- Consolidates user feedback, comments, and engagement metrics to form a basic dataset.
AI-Powered Analysis
- Uses GPT-4.0 to analyze gathered data.
- Identifies advertising tactics employed by competitors.
- Extracts user pain points based on product-related discussions.
Insight Generation
- Provides preliminary insights into:
- Competitor advertising strategies.
- Consumer pain points and expectations.
- Emerging trends and opportunities.
Benefits
- Proof of Concept: Demonstrates the potential for AI-driven advertising analytics.
- User-Centric Approach: Highlights challenges faced by users of similar products.
- Idea Exploration: Serves as a foundation for future development.
How It Works
- Data Gathering: Product Guru scrapes data from targeted sources such as Reddit threads and YouTube comments.
- Analysis: The collected data is processed using GPT-4.0 to identify patterns, sentiments, and trends.
- Insight Delivery: Basic findings are displayed in a straightforward interface.
Use Cases
- Marketers: Explore initial insights into competitors' approaches and user sentiment.
- Product Managers: Identify user pain points for potential product improvements.
- Developers: Use as inspiration for building more robust applications.
Technology Stack
- Frontend: React.js for an intuitive and responsive user interface.
- Backend: Python for efficient server-side operations.
- AI Model: GPT-4.0 for natural language processing and insights.
- Database: SQLite or other lightweight solutions for temporary data storage.
Future Enhancements
- Integration with additional data sources like Twitter, Instagram, and LinkedIn.
- Real-time analysis for instant insights.
- Advanced filtering options to tailor results to specific industries or products.
- Full-scale implementation with enhanced stability and performance.
GitHub Link 🔗
Deploy Link 🔗
Problem it solves 🙅♂️
- It solves the problem of looking all the competitors advertisement and analyze it.
Challenges I ran into 🙅♂️
- No sleep for 3 days.. + Train general travelling from Ahmedabad + Late night coding....
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