KAVACH

Inspiration

In a world where safety is a growing concern, especially in urban and semi-urban areas, we noticed a gap between citizens and law enforcement in terms of accessibility, transparency and speed of response. Inspired by real-world incidents and the increasing need for community-based safety systems, we created Kavach—an intelligent, real-time crime reporting and safety support system.

Our goal was to empower individuals, especially women and vulnerable communities, with tools to report crimes quickly, access support instantly and make informed safety decisions. With crime rates often underreported due to fear, complexity or lack of access, Kavach brings technology and trust together to bridge that gap.

What it does

Kavach is an interactive mobile application designed to improve public safety by integrating smart technology with civic engagement. Key features include:

A real-time crime mapping system with interactive heatmaps to visualize high-risk zones based on user-reported incidents
A digital reporting system that allows users to submit structured crime reports, attach media evidence and track case status
Geofencing alerts that notify users when entering or nearing areas with high crime activity
A live stream broadcasting feature for on-ground reporters or citizens to stream incidents in real time for faster authority intervention
A Safety Buddy chatbot, powered by Dialogflow and OpenRouter API, to assist citizens in filing FIRs, understanding legal rights and finding nearby help
An admin panel for authorities to verify, prioritize and act on reports, including case assignment, communication, and analytics
Awareness resources and safety tips, localized and curated to educate users about preventive safety measures and legal procedures

How we built it

We began by researching common pain points in crime reporting and safety awareness. Our solution architecture was designed to be modular, scalable and accessible across mobile platforms. Each team member focused on a core feature:

Interactive map UI using Leaflet.js, integrated with dynamic, real-time crime data
Chatbot developed using Dialogflow ES and OpenRouter API, designed to provide accurate, conversational assistance
Backend built using Node.js, exposing RESTful APIs for all modules
Mobile application developed using Flutter, offering seamless access to reporting tools, maps and chatbot functionalities
Real-time database and cloud storage powered by Firebase Firestore
User authentication and role management handled through Firebase Auth
Git and GitHub for version control, collaborative development and CI/CD management

Challenges we ran into

Designing a chatbot that balances legal accuracy with user-friendliness
Mapping incidents accurately in real-time with geolocation limitations
Managing data privacy while enabling public visibility of crime hotspots
Integrating multiple APIs within limited time and debugging deployment errors
Ensuring a mobile-responsive, intuitive UI for different user personas

Accomplishments that we're proud of

Integrated multiple complex technologies like Dialogflow, Firebase, Leaflet.js, and OpenRouter API into a cohesive, functional system
Designed a user-friendly digital reporting experience that simplifies the process of filing complaints and ensures structured, trackable submissions
Implemented real-time crime heatmaps and geofencing, enhancing user awareness and preventive safety
Enabled live streaming support for fast, transparent reporting of incidents from the field
Built a robust admin panel allowing authorities to manage cases, monitor reports and respond effectively
Worked as a coordinated team, distributing tasks efficiently and overcoming technical and design challenges collaboratively