Trying to be Consistent 🥀

Siddhant Kaushik  • Peerlist

Developed "Atithi Rakshak," a cross-platform tourist safety application using Flutter, as part of the Smart India Hackathon 2025 (Internal Round). Real-Time Safety Alerts: Implemented geofencing and background monitoring to automatically trigger instant notifications, alerting tourists when they enter or exit predefined safety zones. Instant SOS System: Built an emergency SOS system that leverages background services to automatically send the user's live location and details to authorities and pre-registered emergency contacts via SMS APIs and push notifications. Secure User Management: Integrated Firebase Authentication and Firestore for secure user registration, login, and the management of digital IDs for verification purposes. Authority Monitoring Dashboard: Designed and built a comprehensive web-based dashboard for authorities to monitor incoming SOS alerts in real-time, track user locations on an interactive map using the Google Maps API, and dispatch assistance efficiently. Push Notifications: Utilized Firebase Cloud Messaging (FCM) to ensure the reliable and instantaneous delivery of safety notifications and alerts to both users and the authorities' dashboard.

Atithi-Rakshak (Tourist Safety Application)

A gamified AI-powered platform for competitive programming that issues blockchain-verified credentials. Built to democratize skill validation and offer personalized tutoring using generative AI. 🎓 Features: Smart contract credentialing, AI tutors, and decentralized reputation scoring. 🚀 Designed for hackathons and ed-tech use cases.

BlockCoder

A Web3 AI security platform built with FastAPI and Web3.py to detect and prevent fraudulent blockchain activity. Features include: Real-time blacklisting of malicious wallets Smart contract integration with reactive AI triggers Blockchain event monitoring for suspicious behavior Focused on security in decentralized environments.

ChainSentinel

EcoSentry is a climate-tech initiative that leverages AI and satellite data to predict wildfire hotspots. Built with FastAPI, it integrates datasets from FIRMS, MODIS, VIIRS, GOES, and Sentinel-2 via Google Earth Engine, aiming to assist disaster response teams with early wildfire alerts.Currently in its prototype phase and submitted for evaluation in Hack2Vision (GDG) and the Google Solution Challenge 2025. The project reflects a scalable approach to climate resilience and disaster mitigation.