Full Stack Developer (React / Node.js / MongoDB). Passionate about modern UI engineering and building scalable systems.

Anurag tak  • Peerlist

CAS Acropolis a web-based platform to manage end-to-end academic documentation, leave management, and assignment workflows for colleges operating under a university-level hierarchy. The system includes a master admin login to oversee multi-college operations and a role-based hierarchy to differentiate access and actions across university, college, department, and student levels

CAS Acropolis

The College Administrative System is a web-based application designed to streamline and automate the administrative processes of educational institutions. This system eliminates the need for paper-based operations, enabling efficient and eco-friendly management of college activities. Key features and functionalities include: 1. User Roles: Admin Panel: For managing overall system settings, faculty, and student information. Faculty Module: To handle academic schedules, attendance, and student performance tracking. Student Dashboard: To access academic records, attendance, and notifications. 2. Modules: Student Management: Tracks student details, enrollments, attendance, and academic performance. Faculty Management: Manages faculty profiles, teaching schedules, and payroll. Exam Management: Facilitates seamless scheduling, question paper generation, and result publication. Fee Management: Handles online payments, fee structures, and dues notifications. Library Management: Integrates book lending, availability checks, and overdue reminders. 3. Technology Stack: Frontend: HTML, CSS, JavaScript. Backend: Python (Flask/Django) or PHP. Database: MySQL for secure data storage. 4. Key Benefits: Reduces paperwork and human error. Saves time and enhances efficiency in college administration. Provides real-time access to records and reports for students and faculty. Ensures secure data management with role-based access control.

College Admistative system

DiceyDecisions is a full-stack web application designed to simplify and gamify group decision-making. It allows users to create or join decision rooms, propose multiple options, and vote anonymously. In the event of a tie, the app uses interactive tiebreaker mechanisms like dice rolls, spinners, or coin flips to reach a final decision, adding a fun, engaging twist to the process. As the frontend-focused developer, I built responsive UI components using React and Tailwind CSS, integrated RESTful APIs, and ensured smooth state management for room creation, vote tracking, and real-time feedback. The platform supports JWT-based authentication, role-based participation, and dynamic vote result displays.

DiceyDecisions

In this project, we propose to develop an application designed to handle large financial transactions between accounts with the goal of reducing fraud. The application will eliminate the need for traditional OTP and call verification systems, replacing them with a more secure facial recognition system. Users will begin by logging into the application using their unique ID and password. Once logged in, they will enter the transaction details, including the amount to be transferred and the recipient’s account information. For verification, the application will utilize the device's live camera to recognize the user's face and match it against the database. If the facial recognition system confirms the user's identity, the transaction will proceed. If the face does not match, the transaction will be declined, and the user will be redirected to the homepage. This method aims to enhance security and streamline the transaction process by ensuring that only authorized individuals can complete large financial transactions.

Face Pay

Developed a software solution that enables secure payment authentication through facial recognition. The system leverages computer vision and machine learning techniques to verify user identity in real time, ensuring seamless and contactless transactions. The solution was designed with a focus on accuracy, reliability, and user convenience. Key aspects included integrating facial recognition algorithms, implementing secure transaction protocols, and optimizing performance for real-time verification. The project demonstrates expertise in computer vision, image processing, machine learning, and software integration, highlighting the potential of AI-driven technology in the fintech domain.

Face Pay Authentication - Payment System

Building a Music Recommendation System involves using machine learning to analyze user preferences and recommend personalized music, enhancing the user experience through tailored suggestions in a user-friendly interface.

Music Recommendation System

Kundanshree Jewellers is a static eCommerce website developed to highlight a curated collection of traditional and contemporary jewelry pieces. The site serves as a digital product catalog, enabling potential customers to explore offerings before visiting the physical store or contacting the brand. The platform features a clean and modern UI, intuitive navigation, and visually rich layouts built using HTML and Tailwind CSS, ensuring consistency and responsiveness across all devices. Product sections include categorized galleries , detailed descriptions, and pricing labels, all optimized for performance and user experience.