AngelHack 2020 Submission - tobtob

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Everything was developed within <48 hours of the hackathon (see commit history for proof)

AI business advisory service

• Optimal product pricing suggestion (based on price elasticity)
• Product sales forecast: Note - we originally intended to use fbprophet but had an installation issue with pystan, therefore moved to using ARIMA as a makeshift replacement
• User-desired features suggestion (using a BERT-based token classification model)

Project structure

• backend/: Main service backend
• frontend/: Main service frontend
• crawler/: Product listing & reviews crawler for Amazon/Shopee
• nlp/: Labeling tool & model training for product features suggestion model

Use of AI

• Products listing - filtering, using MobileNet as image encoder for similarity search
• NLP for product reviews analysis
• (potentially) Product sales forecast