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Developed a smart wheelchair integrating 3D CAD modeling in SolidWorks and advanced stress analysis using PyAnsys, optimizing structural integrity and material efficiency. On the software side, employed TensorFlow alongside OpenCV for AI-powered obstacle detection and real-time terrain analysis through LiDAR sensors. This was seamlessly integrated with ROS to create a fluid connection between hardware and software, ensuring enhanced navigation, durability, and adaptability across different environments.
Developed a fully customizable, locally hosted chatbot powered by a GPT model for seamless voice and text interaction. The project included the integration of optional features such as OCR, voice-to-text, and language translation, offering businesses flexibility while maintaining full control over customer data. The chatbot improved customer engagement and service response times and was designed to run locally ensuring data privacy and operational independence.
Developed real-time predictive models for the retail and e-commerce industry to optimize inventory management, pricing, and demand forecasting. Cleaned and prepared datasets, testing models like LSTM, ARIMA, and XGBoost, with PyCaret for automated comparisons. Deployed via CI/CD pipelines and Docker, with insights visualized through Power BI, helping the client quickly adjust strategies to changing market conditions.
Developed a full-stack web application that leverages the Google Places API to automatically gather data on local businesses based on geographic location. This system automates marketing campaigns by generating customized outreach strategies, using collected data such as contact details, ratings, and business categories. The platform integrates API-driven data collection with automated content generation and scheduling, allowing businesses to engage with local markets more efficiently and with minimal manual intervention.