Bhashini Sprint: Streamlined Inventory Management Application

Problem Statement: STREAMLINED INVENTORY MANAGEMENT WITH VOICE COMMANDS AND ADVANCED IMAGE DETECTION FOR SELLERS

Overview

This project is a prototype, developed by the team 'ONETEAM', aims to create a streamlined inventory management application that leverages the Bhashini API and Gemini API to provide sellers with a user-friendly and efficient way to manage their inventory. The application utilizes React Native for the mobile app development and a Flask backend with a MongoDB database to power the inventory management system.

Features

1. Voice Commands: The application allows users to perform various inventory management tasks using voice commands in multiple Indic languages, such as adding new items, updating quantities and checking availability of existing items.

2. Advanced Image Detection: The application integrates with the Bhashini API to provide advanced image detection capabilities, enabling sellers to easily identify and categorize their inventory items by simply taking a photograph.

3. Inventory Management: The application provides a comprehensive inventory management system, allowing users to track stock levels, set reorder points, and generate detailed reports.

4. Alerts and Notifications: The application alerts users about unavailability of items or low stock levels, helping them maintain optimal inventory levels.

5. Seamless Integration: The application seamlessly integrates the Bhashini API and Gemini API, providing a unified platform for sellers to manage their inventory efficiently.

Technology Stack

• Frontend: React Native
• Backend: Flask
• Database: MongoDB
• APIs: Bhashini API, Gemini API