Trained on 5 category-specific regression pipelines
Know what your second-hand things are actually worth.
ReValue AI grades your product photo, asks only the questions that matter for its category, and runs a real machine-learning model to predict a fair resale price in rupees — with the reasoning shown, not hidden.
- Product categories
- 16
- Median price error
- 12.4%
- Models compared
- 4
- Training rows
- 11.2k
How a valuation works
1. Photo analysis
AI vision identifies the product, guesses the brand tier and grades visible damage from your photo.
2. Dynamic questions
Only the questions your category needs — battery health for a phone, tyres and service history for a bike.
3. ML prediction
A gradient boosting or linear model trained per category predicts the price, with a confidence range.
Explainable, not magical
Every valuation lists which answers pushed the price up or down in rupees, plus a depreciation curve showing what the item will be worth in the years ahead.
Your data stays yours
Photos land in a private bucket only you can read, and every valuation is scoped to your account with row-level security.
Anything second-hand
📱 Mobile phone💻 Laptop📷 Camera🎧 Other electronics🔌 Home appliance🛋️ Furniture👕 Clothing👟 Shoes👜 Bag⌚ Watch🚲 Bicycle🏍️ Two/four wheeler📚 Books🏏 Sports gear🎸 Musical instrument📦 Something else
Start a free valuation