AI-Powered Shopping Aid Web/Mobile App Deployment
Budget / Salary₹150,000–250,000
TypeFreelance project
LocationRemote
Posted1 hour ago
Title: AI-Powered Price-Discovery Web & Multi-Module Mobile App Deployment (Indian Agency Only)
Project Description:
We are launching FaydaDekho.com, an innovative AI-powered price-discovery and consumer utility ecosystem based in Delhi. We are seeking a registered Indian Software Development Company with an established, verified in-house team to deliver our Phase 1 infrastructure: a responsive Web portal, an Android App, and an iOS App.
The core system architecture and functional flow of this project are modeled after established Indian shopping utility and AI-driven comparison engines, specifically superdost (xerve.in) Smartprix, Kompare.in (Kompare AI), and Buyhatke. The selected development company must analyze these benchmark applications to understand our required structural baseline.
Core Project Scope Elements:
- Central Relational Database: PostgreSQL/PostGIS optimized for location coordinates and hyperlocal radius sharding.
- Data Integration Core: Automated e-commerce API scraping (Amazon, Flipkart) paired with background desktop XML accounting syncing modules.
- Utility Framework: Fintech API pipelines for bill payments (BBPS) and webhook transaction logging.
- Cross-Platform Frontend: Single Flutter codebase running smoothly at 60 FPS across 15 dynamic categories.
- AI Voice Navigation: Native microphone integration connected to cloud NLP engines (Google STT / OpenAI Whisper) for instant page deep-linking.
- Embedded Frames: Secure, frame-restricted integration of the TradingView Widget API for study purposes.
Added Requirements on Cashback Feature:
1. Cashback Dashboard: Dedicated section highlighting pending/approved cashback details including total earnings from all transactions.
2. Referral Program: Users earn a fixed percentage (e.g., 10%) from referred friends' purchases tracked forever.
3. Refund Policy: Restrictions to use/refund cashback amounts only after return period ends; UPI-based refunds integrated via secure user inputs from the dashboard.
4. Filters in the dashboard for sorting cashback by type/status to enhance clarity for users.
Project Description:
We are launching FaydaDekho.com, an innovative AI-powered price-discovery and consumer utility ecosystem based in Delhi. We are seeking a registered Indian Software Development Company with an established, verified in-house team to deliver our Phase 1 infrastructure: a responsive Web portal, an Android App, and an iOS App.
The core system architecture and functional flow of this project are modeled after established Indian shopping utility and AI-driven comparison engines, specifically superdost (xerve.in) Smartprix, Kompare.in (Kompare AI), and Buyhatke. The selected development company must analyze these benchmark applications to understand our required structural baseline.
Core Project Scope Elements:
- Central Relational Database: PostgreSQL/PostGIS optimized for location coordinates and hyperlocal radius sharding.
- Data Integration Core: Automated e-commerce API scraping (Amazon, Flipkart) paired with background desktop XML accounting syncing modules.
- Utility Framework: Fintech API pipelines for bill payments (BBPS) and webhook transaction logging.
- Cross-Platform Frontend: Single Flutter codebase running smoothly at 60 FPS across 15 dynamic categories.
- AI Voice Navigation: Native microphone integration connected to cloud NLP engines (Google STT / OpenAI Whisper) for instant page deep-linking.
- Embedded Frames: Secure, frame-restricted integration of the TradingView Widget API for study purposes.
Added Requirements on Cashback Feature:
1. Cashback Dashboard: Dedicated section highlighting pending/approved cashback details including total earnings from all transactions.
2. Referral Program: Users earn a fixed percentage (e.g., 10%) from referred friends' purchases tracked forever.
3. Refund Policy: Restrictions to use/refund cashback amounts only after return period ends; UPI-based refunds integrated via secure user inputs from the dashboard.
4. Filters in the dashboard for sorting cashback by type/status to enhance clarity for users.
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