Suman nandi

Prohorini is an advanced, AI-driven safety ecosystem designed to empower women through real-time protection, community intelligence, and predictive monitoring. It bridges the gap between technology and personal safety, providing a comprehensive "guardian" experience.

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• Live SOS Monitoring: Instant emergency signal broadcasting with precise GPS tracking.
• Threat Zone Mapping: Dynamic visualization of unsafe areas using heatmaps and real-time crowd-sourced data.
• Pulse Dashboard: A high-level overview of community safety status and active alerts.

• The Pulse (Community Feed): A verified social space for sharing safety updates, warnings, and community support.
• Trusted Circles: Managed emergency contacts with automated notification systems via SMS/Email (integrated with Brevo).

• Intelligence Dashboard: Comprehensive monitoring for authorities/admins to track active SOS signals and manage reported incidents.
• Infrastructure Management: Tools for defining and refining threat zones (Safe/Danger/Intermediate).
• Audit Logs: Deep trace-ability of safety events and system interactions.

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• Framework: Next.js 15 (App Router)
• Language: TypeScript
• Authentication: Clerk (Secure User Management)
• Database & Realtime: Supabase (PostgreSQL + Realtime Channels)
• State Management: Redux Toolkit
• Data Fetching: TanStack Query v5
• GIS/Mapping: Leaflet with Turf.js & React Leaflet
• Styling: Tailwind CSS + Framer Motion
• Notifications: Brevo API (Email & SMS)
• UI Components: Shadcn UI + Lucide Icons

This is a prototype website for any kind of Restaurant. It has dedicated options for the customers to see multiple segments that a restaurant can have. It has dedicated menu section, sections for chef what kind of chef the restaurant have, a good sectional landing page or a hero page with lot of details, and extend this website to easily achieve the online food app kind of feeling for the users, that they can see the menus and can Wishlist it and can make order. It has a dedicated cart window with functionality and also has online table reservation page that users can reserve a spot for themselves. Tech-stack used for making this application:

1. React JS
2. TypeScript
3. Context API
4. MUi styling library
5. App-write
6. Leaflet

quizBuddy - It is a professional quiz app. This application has all the ability that a intermediate to advance Quiz Application can have. It has different types of category such as general awareness, sports, film and television, science etc. This application has also have the level selection option like easy, medium and hard this type of things and also has the timer option as well. User can enable and disable that option, has a dedicated result showing page with the analytics of the quiz user has perform, with all the correct answer that gives user a chance to scrutiny that, and may more things that user can have a good experience while using it. Tech-stack used :

1. React JS
2. TypeScript
3. Rest API
4. Redux Toolkit
5. MUi styling library

 

• Trading in F&O segments of NIFTY 50 index, BANKNIFTY index, Midcap-NIFTY index, FINNIFTY index.
• Straddle, Strangle, Hedging like many more strategies to execute daily as per the requirement for the Market daily movement.
• Chart reading based on market data, volatility and movement.
• Research on daily news, policies by the Govt., industries data to make the perfect decision for executing trades.