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Ananya Hegde Dev ✈ • Peerlist

Nocturne Atelier is a frontend-only luxury perfume showcase designed to deliver a premium user interface with a clean component structure and responsive layouts. This project focuses on showcasing the elegance of a small-batch perfume house through modern resins, polished woods, and precise florals. Key features include a landing page with brand story and featured picks, a product listing with filter and sort options, and a detailed product view with full specifications. The tech stack includes Vite and React for fast development and a clean architecture, React Router for client-side navigation, and CSS Modules for a controlled, reusable design system. The project is open source, allowing developers to contribute and enhance the showcase further.

GitHub - Ananya-Hegde2001/Perfume · GitHub

CrowdVision is an advanced real-time crowd monitoring system that utilizes AI and Computer Vision to ensure public safety by detecting and analyzing crowd density through live video feeds. The system uses YOLOv8 deep learning technology to identify individuals, classify crowd levels, and trigger alerts during high-density situations.

Key Highlights:
 ➥ Real-Time Crowd Detection using YOLOv8 and OpenCV with 95%+ accuracy
 ➥ Zone-Based Density Analysis with dynamic Low, Medium, High, and Critical classifications
 ➥ Secure Authentication System with user registration, login, and session management
 ➥ Interactive Web Dashboard for live monitoring, analytics, and alert history tracking
 ➥ Responsive Design with smooth UI/UX for desktop and mobile platforms

Tech Stack: Python, Flask, YOLOv8, OpenCV, SQLite, HTML, CSS, JavaScript

This project allowed me to integrate AI, Deep Learning, and Web Development to build a real-time safety monitoring solution with intelligent analytics and professional design.

AI-Powered Crowd Density Monitoring System

➼ Developed an Android app for real-time GPS tracking of school buses.
➼ Enabled parents to monitor their child's bus location, speed, and estimated arrival time.
➼ Enhanced safety and security for students by providing accurate location updates.
➼ Built using Java, Android Studio, and Firebase for seamless functionality and data storage.
➼ Offered schools greater control and efficient management of bus transportation systems.

School Bus Tracker App

The Teacher Job Portal is a modern, domain-specific recruitment platform built to streamline the hiring process for schools, colleges, and educational institutions, while empowering teachers to efficiently showcase their profiles and apply for roles. It bridges the gap between qualified educators and institutions by offering structured workflows, intelligent filtering, and transparent status tracking.

Key Highlights:
➥ Centralized platform for teacher recruitment with structured job posting and application management
➥ Intelligent Search & Filter options based on subject, experience, board, and location
➥ Comprehensive Application Lifecycle Tracking — from Received → Shortlisted → Hired
➥ Real-Time Notifications (Email + In-App) for candidates and recruiters
➥ Analytics Dashboards for recruiters to monitor hiring funnels and performance metrics
➥ Multilingual Interface supporting 11 Indian languages for broader accessibility
➥ Secure, Scalable, and Modular Architecture ready for AI-driven candidate-job matching

Tech Stack:
React.js (Vite), Node.js (Express), SQLite (migration to PostgreSQL), JWT Authentication, CSS, i18next, RESTful APIs

This project enhanced my skills in full-stack web development, secure system design, and scalable architecture implementation, while focusing on usability, performance, and accessibility for real-world educational recruitment needs.

Teachers Job Portal

Enhance student safety with our innovative School Bus Tracker App, designed to provide real-time GPS-based tracking for school buses. This app empowers parents by allowing them to monitor the bus location, speed, and estimated arrival time, ensuring peace of mind. Schools benefit from improved transportation management, gaining greater control and efficiency. Built using Java, Android Studio, and Firebase, the app offers seamless functionality and reliable data storage. Key features include:<ul><li>Real-time GPS tracking for accurate location updates.</li><li>Parental access to bus location, speed, and arrival time.</li><li>Enhanced security and safety for students.</li><li>Efficient management of school bus transportation systems.</li><li>Fast and reliable performance, improving on traditional systems.</li></ul>

School-Bus-Tracker-App

Teacher Job Portal is a comprehensive full-stack web application designed to connect schools and employers with qualified teachers. This platform leverages modern technologies to streamline the hiring process, offering a seamless experience for both job seekers and employers.<h3>Key Features</h3><ul><li>Roles: The platform supports multiple user roles including teachers, employers, and administrators, each with specific functionalities.</li><li>Authentication: Secure registration and login processes with password hashing and role-based access control, utilizing JWT for authentication.</li><li>Teacher Features: Teachers can create detailed profiles, search and apply for jobs, and track their application status.</li><li>Employer Features: Employers can manage company profiles, post and manage job listings, and review applicants.</li><li>Admin Features: Administrators have the ability to approve job postings, manage users, and access basic analytics.</li><li>Job Search: Advanced search and filter options for jobs based on keywords, location, subject, and grade level.</li><li>Notifications: A basic notification system keeps users informed about new applications and job status changes.</li></ul><h3>Technical Stack</h3><ul><li>Frontend: Built with React (Vite) and utilizes Context API and Hooks for state management.</li><li>Backend: Powered by Node.js with Express framework and SQLite for database management.</li><li>Authentication: Implemented using JWT for secure access and refresh tokens.</li></ul>This open-source project is hosted on GitHub, inviting contributions from developers to enhance its features and capabilities.

Teacher's JobPortal

CrowdVision is an advanced AI-based crowd monitoring system designed to provide real-time insights into crowd density using the latest YOLOv8 deep learning technology. This system offers a comprehensive web dashboard, user authentication, and a responsive design, making it ideal for monitoring large gatherings and ensuring safety. Key features include:<ul><li>Real-Time Monitoring: Live video stream with AI processing and YOLOv8 detection, achieving over 95% accuracy.</li><li>Smart Analytics: Dynamic zone classification with real-time statistics and automated alerts for critical crowd levels.</li><li>Professional Interface: A modern UI/UX with responsive design, interactive dashboard, and intuitive controls.</li><li>Technical Excellence: RESTful API, secure SQLite database, and cross-platform compatibility.</li></ul>With its robust features and high accuracy, CrowdVision is an essential tool for effective crowd management and safety assurance.

Crowd_Density_Estimator

A safety system that detects driver fatigue using an IR eye blink sensor and accelerometer with an ESP32. When drowsiness is detected, a buzzer alert is triggered to prevent accidents.

Driver Drowsiness Detection System 🚗

HR Analytics Employee Retention project analyzes employee data to predict retention trends and identify key factors influencing employee turnover using Python.