The global impact of COVID-19 on transportation accidents through data-driven analysis and interactive visualizations. By analyzing trends in air and road casualties pre- and post-pandemic, it uncovers correlations between accident rates and pandemic factors like government stringency measures, daily COVID-19 cases, and fatalities. Interactive dashboards let users explore accident types vs. vehicle categories, casualty distributions by location, and daily air fatalities. Machine learning models evaluate how lockdowns and restrictions influenced accident patterns, offering actionable insights for policymakers. The project combines datasets on accidents, COVID-19 metrics, and socioeconomic indicators, visualized using Python, Tableau, and PowerBI. Comparative timelines reveal shifts in accident severity and frequency during pandemic waves, while SQL-powered queries enable granular data exploration. Designed for researchers and safety advocates, the platform bridges data science and public policy to highlight risks and mitigation strategies. Tools like Pandas and Matplotlib ensure robust analysis, while dynamic charts simplify complex trends. Whether comparing regional road safety or air travel risks, the site empowers users to draw evidence-based conclusions. Visit to discover how pandemic disruptions reshaped transportation safety—and how data can guide future resilience.
Smart Crop Rotation
This platform leverages machine learning to revolutionize agricultural sustainability through data-driven crop rotation strategies. By analyzing state and central datasets on soil nutrition, historical yields, and environmental factors, the predictive model recommends optimal crop sequences to minimize soil contamination and maximize productivity. Built with Python and Scikit-learn, the system processes vast agricultural datasets to uncover hidden patterns, visualized through intuitive charts for actionable farmer insights. A user-friendly interface allows farmers to input local soil data and receive tailored crop rotation plans, bridging technology and practical farming needs.
Speech Translation
This application harnesses NLP and TensorFlow to convert speech to text and translate it into multiple languages with 95% accuracy, bridging communication gaps across global users. Designed for simplicity, its intuitive interface ensures seamless interaction, enabling real-time transcription and translation for diverse use cases. Built with Python and machine learning frameworks, the tool underwent rigorous testing to optimize language detection and output reliability. By iteratively refining models and user workflows, it demonstrates advanced proficiency in NLP and scalable AI solutions. Explore how this innovation transforms spoken words into actionable, multilingual text—ideal for education, business, or cross-cultural collaboration.
Fundamentals of DATABASE SYSTEMS
This robust DBMS solution integrates Oracle, Microsoft Access, and MySQL to streamline business operations, enabling seamless customer account creation, order processing, sales management, and real-time inventory tracking. Leveraging Oracle’s scalability for large datasets, Microsoft Access’s user-friendly interface for quick task execution, and MySQL’s flexibility for cross-platform compatibility, the system ensures end-to-end workflow automation. Businesses can securely store customer data, process orders, generate invoices, and monitor inventory levels with automated alerts for stock shortages or sales trends. Advanced SQL queries and stored procedures optimize transaction speeds, while role-based access controls safeguard sensitive financial and customer information.
Interactive dashboards provide staff with intuitive tools to manage sales pipelines, while managers gain insights through customizable reports on revenue, inventory turnover, and customer behavior. Built to scale with growing enterprises, the platform supports multi-user collaboration, data synchronization across departments, and integration with third-party tools like ERP systems. By unifying fragmented processes into a cohesive database ecosystem, this system empowers businesses to reduce operational overhead, minimize errors, and drive data-driven growth.
More Projects Under-Construction
We didn’t come this far to stop