Unmanned aerial vehicle also termed as unarmed aerial vehicles are used for various purposes in and around the environment, such as delivering things, spying the opponents, identification of the aerial images, extinguishing of fire, spraying the agricultural fields etc. As there are multi-functions in a single UAV model, it can be used for various purposes as per the user requirement. The UAV’s are used for because of faster communication of information identified, entry through the critical atmospheres and no harm to humans before entering a collapsed path. In concern with the above discussion an UAV system is designed to classify and transmit information about the atmospheric conditions of the environment to a central controller. The UAV is equipped with advanced sensors that are capable in detecting air pollutants such as: carbon monoxide (CO), carbon dioxide (CO₂), methane (CH₄), ammonia (NH₃), hydrogen sulphide (H₂S), etc,. These sensors present in the UAV model monitor the quality of air time to time, as the UAV navigates through different areas and transmits real-time data regarding the air quality to a central unit; this data includes detailed information on the concentrations of different pollutants. The central unit analyzes the data that are captured by the sensor and checks whether the quality of air meets the atmospheric standards. If the sensed levels of pollutants exceed the thresholds, then the system present in the UAV triggers a warning alert, this alert is communicated to local authorities and the public to take necessary precautions. The developed UAV is furnished with cameras which are used to capture real-time images of the environment and it is processed using the YOLO V3 algorithm. Here YOLO V3 algorithm is defined to identify the context and source of pollution, such as identifying industrial activities, traffic congestion, or natural sources like wildfires.