Hi, I'm Rutuja Bodke 👋

Problem

Traditional job portals provide limited support for resume analysis and interview preparation. Users lack intelligent tools to improve their chances of getting hired.

System Architecture

Approach

Developed a full-stack job portal with separate modules for Admin, Employer, and Job Seeker. Integrated AI services for resume analysis and chatbot functionality, along with secure payment processing.

Solution

• Built complete job portal with role-based access (Admin, Employer, Job Seeker)
• Integrated Azure AI for resume data extraction and analysis
• Developed AI chatbot for interview preparation and resume assistance
• Implemented Cybersource payment gateway for subscription handling
• Designed and developed database, backend APIs, and frontend modules

Result

Delivered an intelligent job portal with AI-powered features that enhance user experience. Enabled users to apply for jobs, prepare for interviews, and manage subscriptions seamlessly.

Technical Challenge

Integrating multiple systems including AI services, payment gateway, and role-based workflows was challenging. Ensured smooth communication between components and optimized system performance.

Problem

Managing appointments for spa and salon services manually leads to scheduling conflicts, inefficient booking processes, and lack of centralized management for service providers.

System Architecture

Approach

Designed a multi-role system with separate modules for Admin, Customers, and Vendors. Implemented appointment scheduling, service management, and payment integration.

Solution

• Built appointment booking system with real-time slot selection
• Implemented multi-role access (Admin, Customer, Vendor)
• Integrated PlugNPay for secure payment processing
• Developed backend APIs and database for managing bookings and services

Result

Delivered a streamlined booking platform that simplifies appointment scheduling and payment processing, improving user experience and operational efficiency for service providers.

Technical Challenge

Managing real-time appointment availability and ensuring secure payment processing was challenging. Implemented efficient scheduling logic and reliable transaction handling.

Problem

Car rental platforms require flexible payment systems where vendors can choose their preferred payment gateway. Managing multiple payment methods and routing transactions dynamically is complex.

System Architecture

Approach

Implemented dynamic payment routing based on vendor preferences. Built logic to generate payment links and redirect users to the appropriate payment gateway.

Solution

• Developed payment link generation system for rental transactions
• Enabled vendors to configure and select preferred payment gateway
• Implemented dynamic routing between Cybersource and PlugNPay
• Handled transaction response and payment status tracking

Result

Delivered a flexible payment system that supports multiple gateways and vendor-specific configurations, improving usability and transaction flow.

Technical Challenge

Managing multiple payment gateways and ensuring correct routing based on vendor configuration was challenging. Implemented dynamic logic and robust validation for reliable transaction processing.

Problem

Manual processing of invoices is time-consuming and error-prone. Businesses require an automated solution to extract structured data from uploaded documents.

System Architecture

Approach

Integrated Azure Document Intelligence with backend APIs and trained custom classification and extraction models to handle invoice data accurately.

Solution

• Implemented document upload and processing workflow
• Integrated Azure AI for invoice data extraction
• Trained custom models for classification and field extraction
• Converted extracted data into structured JSON format

Result

Enabled automated invoice processing with improved accuracy and reduced manual effort, making data readily available for further processing.

Technical Challenge

Ensuring accurate extraction across different invoice formats required training and tuning custom AI models for consistent results.

Problem

Managing vehicle operations such as loading and unloading requires structured workflows and real-time tracking. Existing systems lacked proper reporting and operational visibility.

System Architecture

Approach

Enhanced the existing system by implementing new workflows for loading and unloading operations. Developed analytics dashboards and improved database structure for better reporting.

Solution

• Implemented custom loading/unloading vehicle management workflows
• Developed analytics dashboards for operational insights
• Optimized database structure for reporting and performance
• Worked on frontend UI improvements and data visualization

Result

Improved operational efficiency by providing structured workflows and real-time reporting. Enabled better tracking and decision-making through analytics dashboards.

Technical Challenge

Designing flexible workflows and ensuring accurate reporting required careful database design and frontend-backend synchronization.

Problem

Schools often manage student records, attendance, and fees manually or across multiple systems. This leads to inefficiency, data inconsistency, and difficulty in tracking academic performance.

System Architecture

Approach

Designed a modular system using ASP.NET Core with separate components for student management, attendance tracking, and fee handling. Implemented role-based access control for admins and teachers.

Solution

Developed a centralized school management platform that digitizes all academic and administrative operations. The system allows efficient tracking of student data, attendance, and financial records.

• Student & Teacher Management
• Attendance Tracking System
• Fee Management & Reporting
• Role-Based Access Control

Result

The system improved operational efficiency by reducing manual work. Schools can now manage records digitally, access data instantly, and generate reports بسهولة.

Technical Challenge

Managing multiple modules and ensuring data consistency across different features was challenging. Implemented proper database relationships and validation to maintain integrity.