Page 346 - Kaleidoscope Academic Conference Proceedings 2024

2024 ITU Kaleidoscope Academic Conference

4.1 Use Case 1.2 4.2 Use Case 1.3

In Figure III, IV & V, the team has conceptualised an "Gram-Samwad," developed by CEQU Labs was initially
emergency response mechanism where, when a villager envisioned as a WhatsApp bot aimed at improving
encounters an emergency, they can quickly send a voice note communication between village administrations and their
to the 'Gram-SAMWAD' bot. Integration of Bot with residents. Building on its success by collaboration with IAS
Emergency Response team conceptualized with the technical Ashish Kumar, the application has now integrated a
insights of Senior Official, DoT, GoI. It is designed to swiftly grievance redressal module that extends to social media
transcribe the voice note and determine the nature of the platforms. This feature allows villagers with authenticated
emergency using advanced language processing techniques. accounts to post their issues directly into the system via
Upon recognizing the distress signal, the bot accesses the multiple channels. A.I. and GPT Module automatically
GPS data from the sender's phone to ascertain the exact categorize these grievances based on urgency and type with
location. This triggers an immediate response protocol, dashboard like in Figure V, routing them to the appropriate
dispatching the Emergency Response team, ensuring it department for swift action. This multi-channel approach not
arrives at the emergency site promptly and safely. As the only streamlines the resolution process but also enhances
team reaches the location, it begins the safety operations. transparency and accountability in public service, fostering a
stronger bond of trust and engagement within the community.
Meanwhile, the 'Gram-SAMWAD' bot can automatically
create a situation mitigation SoP, providing team with 4.3 Use Case 1.4
precise location details and relevant data required for
mitigation. This integration ensures that help is on the way, In Figure IV, when a passenger on public transportation
equipped with the knowledge of what to expect upon arrival. encounters a crisis, they have two swift options to signal for
help using the "Gram-SAMWAD" GPT bot: a concise voice
notes describing the emergency or pressing a specially
designed Automated panic alert within the bot interface. This
system, ideated for rapid crisis management, leverages the
ubiquity of WhatsApp to ensure accessibility and ease of use.
Upon receiving the distress signal, "Gram-SAMWAD"
utilizes natural language processing to interpret the voice
note's content or recognizes the panic alert activation as an
immediate call for assistance. It then swiftly retrieves the
precise current location of the distressed passenger through
their smartphone's GPS. The bot interfaces with the public
Figure III: USECASE 1.2
transport vehicle’s system and city's surveillance network,
instantly directing all nearby CCTV systems to focus on the
path of the distressed vehicle. This integration allows for
real-time tracking and situation assessment.

Simultaneously, emergency response vehicles are
automatically notified with the vehicle's location and a
predicted path, calculated using real-time traffic and the
vehicle’s known routes. The situational awareness provided
by the bot's quick analysis of the voice note and live
surveillance feeds ensures that the emergency team is well-
informed on the approach. This case study outlines how a
strategic collaboration with government authorities to create
a responsive and intelligent emergency management system
Figure IV: Grievance Registration within the public transport network.

Figure V: GREVIENCE DATA DASHBOARD Figure VI: USECASE 1.4

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