AI Powered Emotional Recognition Technologies in Distance Therapy
Conducted a research project on real-time stress detection during online therapy sessions by analyzing patients’ vocal inputs to identify emotional states and stress levels. Developed a vocal emotion recognition model and visualized emotion fluctuations through graphs to assist therapists in monitoring patient progress. Conducted multiple test sessions, achieving consistent and accurate emotion recognition results, demonstrating the system’s effectiveness.
Technologies Used :
Java, Next.js, Flutter, FastAPI, Python
Deep Learning Model for Movie Reviews
Developed a deep learning-based neural network model for sentiment analysis using the IMDB movie review dataset. The project focused on enhancing text preprocessing techniques, fine-tuning hyperparameters, and optimizing model architecture to achieve higher accuracy in classifying reviews as positive or negative. Conducted detailed evaluations and visualized model performance metrics to ensure reliability and consistency across test datasets.
Technologies Used :
Python, TensorFlow, Qodana
Shopping application for Visually challenged
Developed an assistive shopping application designed to help
visually challenged individuals shop independently. Integrated
an AI model built using Azure Computer Vision to accurately
identify currency notes, ensuring secure and effortless
transactions. The application also features voice command–based
navigation, enabling users to move through the interface
hands-free and enhancing accessibility through intelligent,
user-friendly design.
Technologies Used :
React Native, ReactJs ,Node Js, Mongo DB
Dental Clinic Management System
Developed a web application for a dental clinic designed to
automate and streamline all operational tasks. The platform
enables staff to efficiently manage appointments, patient
records, and other administrative activities. I specifically
developed the doctor management module, which allows authorized
personnel to maintain doctor profiles, schedule availability,
track consultations, and manage patient assignments through a
structured and user-friendly interface. This project aimed to
improve workflow efficiency, reduce manual administrative
efforts, and ensure smooth coordination between doctors, staff,
and patients.
Technologies Used :
React Js, Node Js , Express Js, Mongo DB
Online Help Desk
Developed a Help Desk system designed to streamline communication within an organization by allowing employees to raise concerns, issues, or requests efficiently. The platform enables authorized officials to respond, track, and resolve these concerns through a structured and user-friendly interface. This project aimed to enhance internal support processes, improve transparency, and ensure timely issue resolution across departments.
Technologies Used :
HTML , CSS , JavaScript , SQL
Job Portal
A mobile application was developed as an innovative solution to address the issue of youth unemployment. The platform is designed to connect young job seekers with potential employers, provide access to skill-building resources, and streamline the process of finding suitable employment opportunities. By offering features such as job listings, application tracking, and personalized career guidance, the application aims to empower the youth, enhance their employability, and create a more efficient bridge between talent and opportunity. This project focuses on leveraging technology to tackle unemployment challenges and support economic growth by enabling young individuals to actively engage with the job market.
Technologies Used :
Kotlin , SQLite Database
Public Transport Reservation System
Developed a comprehensive Public Transport Reservation System, a bus reservation platform built from scratch to streamline the travel booking process for passengers. The system allows users to search for available buses, view schedules, and reserve seats conveniently for their journeys. It also manages seat availability in real time to prevent double bookings and ensures a smooth and efficient reservation experience. The platform is designed to enhance user convenience, reduce manual ticketing processes, and improve overall operational efficiency for transport service providers. This project aimed to provide a reliable and user-friendly solution for passengers while optimizing the management of bus services.
Technologies Used :
HTML , Php , SQL , JavaScript
Laundry App
Developed a Laundry App from scratch to provide a seamless pickup and delivery service for customers. The application allows users to schedule laundry pickups, track the status of their orders in real time, and arrange timely deliveries, all through a user-friendly interface. It also enables service providers to manage orders efficiently, assign tasks to staff, and maintain records of completed services. This project aims to streamline the laundry service process, enhance customer convenience, and improve operational efficiency for service providers by leveraging technology to create a reliable and organized platform.
Technologies Used :
React Native,NodeJs, ExpressJs, MongoDB
An educational Platform
Developed a comprehensive educational platform similar to Coursera or Udemy, designed to provide seamless online learning experiences. The platform enables instructors to create and manage courses, upload video lectures, and interact with students, while learners can browse courses, enroll, and track their progress through an intuitive interface. To ensure scalability and reliability, the platform leverages Docker for containerization and Kubernetes for orchestration, allowing efficient deployment and management of resources across multiple environments. This project aimed to create a robust, scalable, and user-friendly learning platform that supports high availability, enhances the learning experience, and facilitates the growth of online education.
Technologies Used :
MERN, Docker, Kubernetes
Online Ticketing System
Revamped an outdated Online Ticketing System by thoroughly analyzing its backend architecture, identifying potential security vulnerabilities, and implementing robust solutions to mitigate risks. The project focused on enhancing the system’s reliability, improving performance, and ensuring compliance with modern security standards. Key improvements included strengthening authentication and authorization mechanisms, optimizing database operations, and updating legacy code to modern best practices. This initiative aimed to provide a secure, efficient, and user-friendly ticketing experience for both customers and administrators, while ensuring the system could reliably handle increased traffic and protect sensitive user data.
Technologies Used :
Spring Boot , ZAP, Qodana
