Vision Nest: Wildfire Monitoring & Management Hub - Backend and Admin panel

Background : Vision Nest is an innovative AI-powered IoT system designed for the early detection of wildfires in remote locations. Our system comprises stationary units equipped with an array of sensors including cameras, thermal imagery, and air quality sensors. These units periodically transmit data to our central servers via POST requests, ensuring real-time monitoring capabilities. Challenge : Despite our robust data collection capabilities, we currently lack an efficient way to show and interact with the data from these devices. Our goal is to improve the current comprehensive admin panel that enables effective management and monitoring of the Vision Nest units, facilitating rapid response and detailed environmental analysis. Tech stack: GCP (mainly cloud run, pub/sub, and cloud functions, VertexAI end-points), React, TypeScript, Bootstrap Objective : By the end of this project, learners are expected to create an admin panel with the following functionalities: User Authentication: Secure login for users to access their specific Vision Nest devices. Device Management Settings : Module for users to configure and update device settings remotely. Geographical Visualization : Interactive map displaying the locations of all deployed Vision Nest units, with clickable options for detailed data views. Data Visualization : Periodically updating charts displaying air quality metrics and the latest visual data from each device linked to the user's account. Snap shot : Snap shot of the devices latest reading. Outcome : Participants will deliver a user-friendly admin panel that not only enhances the usability of the Vision Nest system but also supports crucial wildfire prevention efforts by providing timely and actionable insights.

CRM Consolidation and Sales Pipeline Setup

Enviro Integration Strategies Inc. is seeking to streamline its client management processes by consolidating multiple client and contact lists into a single, efficient CRM system. The current setup involves disparate lists and fragmented information currently stored in spreadsheets and text documents, leading to inefficiencies and potential data gaps. The goal of this project is to create a unified CRM database that integrates all existing client information, ensuring data completeness and accuracy. Additionally, the project aims to establish well-defined sales pipeline stages tailored to two distinct revenue streams. This will enable the company to better track sales progress and prioritize efforts for key clients. The project provides an opportunity for learners to apply their knowledge of data management, CRM systems, and sales processes in a practical setting.