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1. Team Leader : Akash Vishwakarma (CSE) Team Members : Narendra Singh (CS) Ayush Pandey (AIML) Team Guider Details : Mr. Vishal Choudhary Padmini : AI driven Women Safety Platform

2. Synopsis : Padmini is a platform designed to enhance women's safety using machine learning, predictive analytics, and real-time emergency response systems. It combines 20 years of crime data to predict threats and offer real-time support. Data-Driven Crime Prevention Real-Time Emergency Response Paid Safety Monitoring Service Collaboration with Law Enforcement Material List Record of NCW(National Commission of Women. Mann-Kendall Test. Web and mobile development tools ( DJango , Python). GPS and live-stream integration tools. Socket Programming. Procedure to Execute the Idea Collect and classify 20 years of crime data against data. Develop ML models for crime prediction and risk analysis. Integrate the voice-activated emergency system with live streaming and location sharing. Test the platform for real-time emergency response and refine based on user feedback.

3. Innovation S. No Existing State of art Drawback in Existing State of art How invention is overcoming the drawback 1. Panic Button Required manual activation Voice activated hand-free system 2. Mobile Apps Slower, needs unlocking Instant activation via voice 3. Reactive Prime analysis No predictive Prevention Future crime prediction by ML Benefits to Society Padmini improves public safety by preventing crimes before they happen, offering real-time emergency response, and fostering safer communities through collaboration between individuals, local businesses, and law enforcement. It helps reduce gender-based violence and empowers women to feel more secure in their daily lives.

4. What are we bringing ? Real time audio, video streaming to simulate an emergency situation. ML model for analysis of women crime on different parameter. Real time monitoring system. Technical documentation Poster and display materials Learning associated with this project Introduction to basic coding concepts and web app functionality. Teaching how to analyse crime data and trends Understanding of the building of the ML model for emergency response and crime analytics. Familiarity with online safety and privacy measures. Business Plan and Cost of Project Subscription-based model for personal safety monitoring services.

5. 1. Problem Statement with Respect to Theme: Aligns with United Nations Sustainable Development Goals (SDGs). 2. Solution to the Problem: Integrates crime data analysis for informed decision-making, and emergency response system for immediate assistance . 3. Potential of Idea to be Scaled at Large Level Creativity and Innovation in the Idea : Innovative use of data analytics to enhance safety measures. Development of an emergency response system for immediate action. 4. Teachability of Concepts to Middle and Secondary School Children: Introduction to basic coding concepts and web app functionality. Teaching how to analyse crime data and trends Understanding of the building of the ML model for emergency response and crime analytics. Familiarity with online safety and privacy measures.

6. Results

7. Thank You ML Model Video Streaming Patent - Application No: 202411074097