Police Feedback System

Problem Statement

In addressing the challenges associated with obtaining feedback on police operations, there is a pressing need for a modernized and inclusive approach. Traditional methods such as inspections and complainant calls have proven to be outdated, restricted, and lacking in inclusivity. The current non-digital feedback mechanisms result in a lack of uniform guest records, inadequate staff for daily follow-up, and complications arising from a multi-lingual and digitally less-literate society.

Solution

1. Bulk SMS Tool:

• Purpose: Gather quick feedback on police interactions.
• Implementation: Choose a reliable SMS service provider (e.g., Twilio, Nexmo) and integrate their API into the system to trigger bulk SMS messages with a prompt for feedback.

2. Auto Chatbot:

• Purpose: Engage users with structured questions and compile real-time answers.
• Implementation: Opt for a chatbot platform (e.g., Dialogflow) design questions, and integrate the chatbot into the backend for real-time response compilation.

3. Online Portal:

• Purpose: Record detailed comments for a holistic view of community feedback.
• Implementation: Select a web framework (e.g., Django, Flask), create a user-friendly registration system, design a feedback form, and integrate the frontend with a secure database (e.g MongoDB).

4. Social Media-Like Platform:

• Purpose: Allow users to share experiences and categorize feedback based on specific locations.
• Implementation: Choose a development approach (e.g. Django), design an interactive frontend (e.g., React.js), integrate a database (e.g. MongoDB), implement geotagging with Mapbox or Google Maps API, and ensure privacy controls and OAuth 2.0 for user authentication.

Software and Technology

1. Bulk SMS Tool:

   • Service Providers: Twilio, Nexmo, or Plivo
   • Integration: RESTful API with Python or Node.js

2. Auto Chatbot:

   • Platform: Dialogflow
   • Integration: RESTful API with Node.js

3. Online Portal:

   • Frontend: React.js
   • Backend: Node.js (Express)
   • Database: MongoDB
   • Security: JWT

4. Social Media-Like Platform:

   • Platform: Express.js
   • Frontend: React.js
   • Database: MongoDB
   • Maps Integration: Google Maps or Mapbox
   • Authentication: OAuth 2.0

Integration and Automation

• Data Analysis: Python (Pandas, NumPy)
• Visualization: Tableau or D3.js

Mobile Optimization

• Responsive Design: Tailwind CSS

Cloud Services

• Cloud Providers: AWS, MongoDB Atlas

Team Members & Responsibilities

• Harsh Balwani – Frontend Development and deployment.
• Aneesh Rijhwani – Backend Development and deployment.