TeknoKi Weather Watcher solution is an initiative of the Indian Institute of Tropical Meteorology to digitize, automate and simplify the process of acquisition of meteorological data like temperature, humidity, pressure, rainfall, wind speed and wind direction, etc. It features a cluster of 5 sensors integrated into a single device and a Web Application hosted on a website. The raw data is projected and visualized on a user friendly interface so that any scientist can get his required input in a single glance. The frontend offers live monitoring of this data and corresponding graphs and plots of various parameters. The autosave feature automatically logs the data into the cloud based database in a specific fixed interval, and also saves a local copy of this data on the user’s system as a CSV file for his perusal. Also there are features to record this data in specific interval if the user chooses to do so. The user will simply plug in the device into his laptop or PC’s USB port and start the process.

Previously the process of data acquisition and recording in various weather stations across the country was carried out manually where the individual responsible had to gather the data from 5 different sensors and record the readings manually in excel or physically in specific time intervals and send the dataset individually to the central main Weather Station. This process was extremely hectic and taxing, and it had grown pretty redundant in this decade. So the idea was to create a Web and Cloud based application which gives the user freedom to complete the procedure with ease. There is a login system for the users so they can save their datasets categorized by various locations in the country on the cloud itself. This creates a central database so that any authority can fetch region specific data in seconds without contacting the person in-charge of that specific weather station. This makes the process seamless and eliminates the havoc and chaos induced by manual acquisition and storage. If the weather station is in an extremely remote location where internet connectivity is absent, the user can upload the CSV file that gets stored locally to the cloud later when he gets internet.