🌙 Chandra: AI for Real-Time Women’s Safety

🚨 Problem

Street harassment remains a major threat to women’s safety in India. Current systems lack real-time, low-cost, and scalable monitoring to prevent or respond effectively.

💡 Our Solution – CHANDRA

• Monitors facial expressions, voice stress, and text cues.
• Analyzes external factors like crime news, geo alerts, traffic data, lighting/weather, and hotspots.
• Generates a dynamic risk score by fusing emotional + environmental signals.
• Triggers adaptive interventions: silent alerts, fake calls, chatbot, GPS sharing, or community alerts.

🌍 SDG Alignment

1. SDG 5 – Gender Equality: Empowers women with freedom and safety.
2. SDG 11 – Sustainable Cities: Safer public spaces and inclusive mobility.
3. SDG 16 – Peace & Justice: Evidence-based, tamper-proof alerts for justice.

🛠️ Tech Stack

• Frontend: React.js + Tailwind CSS
• AI Models: TensorFlow.js, Hugging Face DistilBERT, Librosa + Scikit-learn
• Backend: Flask / FastAPI
• External Data: NewsAPI, OpenWeatherMap, OpenStreetMap
• Alerts: Twilio / EmailJS

🚀 Innovation

• Context-aware fusion of distress + environment signals.
• Invisible safety (no manual triggers needed).
• Predictive risk scoring – proactive, not reactive.
• Community safety mesh with anonymized alerts.
• 100% software-only, web-based solution.

👩‍💻 Our Team – If Clause

• Sai Sivaraman – CSE
• Sakthi Kothandam K – CSE
• Shruthikha S – CSE
• Snikitha K – CSE
• Sowmiya M.S – CSE
• Suriya Sudhakar – CSE