Product Guru

Chandan

Student
Ahmedabad

Chandan

Student
Ahmedabad

Product Guru

70%
FindCoder AI-Powered Review (Beta)

Product Advertisement AI

Designed With 😇 :

  • FlaskFlask
  • PyPy
  • ReactReact

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


  1. Data Gathering: Product Guru scrapes data from targeted sources such as Reddit threads and YouTube comments.
  2. Analysis: The collected data is processed using GPT-4.0 to identify patterns, sentiments, and trends.
  3. 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.


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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