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Aggregates Product Reviews
- Collects reviews from various sources (e.g., Amazon, Yelp)
- Integrates with platform APIs for review retrieval
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Sentiment Analysis
- Analyzes sentiment of reviews (positive, negative, neutral)
- [] Utilizes Python-based ML models for sentiment analysis
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Summarized Insights
- Provides summarized insights for each product -> used "https://huggingface.co/paulmbw/autotrain-productkit-customer-insights-2851583532"
- Generates ratings based on aggregated review data
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Real-time and Periodic Updates
- Implements cron jobs for periodic updates
- Supports real-time data updates
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Data Visualization
- Interactive charts and graphs for visualizing review data
- Provides various visual representation options (e.g., bar charts, pie charts)
- React
- Tailwind CSS
- Django
- Django REST Framework (DRF)
- Python-based ML models for sentiment analysis
- Text summarization models
- PostgreSQL
- SQLite (alternative option)
- Celery for scheduling tasks
- BeautifulSoup
- Scrapy
- Platform APIs for data retrieval
- AWS
- Netlify