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Developed Transport Management System

  • Developed a comprehensive Transport Management System using React, TypeScript, and FastAPI.
  • Implemented responsive dashboard visualizations improving decision-making efficiency by 35%.
  • Enhanced system with AI/ML features reducing downtime by 20% and fuel consumption by 15%.
  • Established secure API integration ensuring data integrity and seamless information flow.
  • Created a mobile-responsive interface increasing operational responsiveness by 40%.
Vaishali worked on this case as the AI Developer at Varua Transport.
AI Developer
Predictive Maintenance
Route Optimization
AI Integration
Transport Management Systems
Logistics
Global
Freelance
Transport Management System
Web App
FastAPI
React
TypeScript
Tailwind CSS
Recharts
B2B
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Vaishali

AI Developer at Varua Transport

Vaishali's cases
Gesture Recognition
Sign Language Detection
Real-time Systems
Assistive Technology
Global
Research and Development
Sign Language Detection System
Real-time Sign Language Action Detection System
  • Developed a real-time Sign Language Action Detection System achieving 90% accuracy.
  • Integrated face, hand, and body landmark detection for precise sign recognition.
  • Trained LSTM neural network reaching 85% accuracy, improving performance by 25%.
  • Enhanced accessibility for individuals with hearing and speech impairments.
  • Enabled applications in education and assistive communication tools.
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AI DeveloperFreelance
SAP Hybris
Automation
Order Management Systems
Compensation Analysis
IT Services
Global
Enterprise
Order Management System Integration
  • Led development and integration of order management systems within SAP Hybris for a B2B website.
  • Enhanced processing efficiency by 20% and reduced setup time by 15% with automation.
  • Improved project delivery speed by 10%, achieving a 98% customer satisfaction rate.
  • Managed change management framework reducing system downtime by 25%.
  • Developed a compensation analysis tool improving data accuracy by 30%.
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Project EngineerWipro Limited
Image Classification
Generative Adversarial Networks
Deep Learning
Artificial Intelligence
Global
Research and Development
Image Classification System
Adapting GANs for Image Classification
  • Used StarGAN architecture to classify images across multiple domains.
  • Achieved an F1 Score of 0.83, Precision of 0.9917, and Recall of 0.8051 on the CelebA dataset.
  • Trained model over 500,000 iterations using PyTorch and Adam optimizer.
  • Applied adversarial loss, classification loss, and gradient penalty for balanced training.
  • Optimized performance with specific hyperparameters ensuring stable performance.
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AI DeveloperFreelance
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  • Enhanced system with AI/ML features reducing downtime by 20% and fuel consumption by 15%.
  • Established secure API integration ensuring data integrity and seamless information flow.
  • Created a mobile-responsive interface increasing operational responsiveness by 40%.
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