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getsure-controlled-bot-for-material-handling
getsure-controlled-bot-for-material-handling PublicIt's a mechatronics based iot system where an operator inputs direction using gestures and the bot takes the load Along that direction. Mainly we used gyro sensor for gesture input, L298 dual motor…
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iot-gas-pipeline-safety-system
iot-gas-pipeline-safety-system PublicAn intelligent monitoring and alerting system designed to enhance safety in gas pipeline infrastructure through real-time anomaly detection and predictive maintenance.
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inventory-demand-forecasting-using-machine-learning
inventory-demand-forecasting-using-machine-learning Public“It’s a machine learning-based demand forecasting system that predicts future sales using historical data, helping businesses optimize inventory and reduce losses.”
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real-time-quality-monitoring-in-production-using-scada-systems-at-hll
real-time-quality-monitoring-in-production-using-scada-systems-at-hll PublicThis project focuses on evaluating the impact of implementing a real-time quality monitoring system using SCADA in the production line at HLL. We analyzed the system performance before and after im…
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braess-aware-system-optimized-routing-algorithm
braess-aware-system-optimized-routing-algorithm PublicProject Braess is a sophisticated urban traffic simulation and routing application designed to prove and mitigate the effects of Braess's Paradox in real-world city networks. The system moves beyon…
Python
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data-driven-risk-modelling-for-tapioca-yield-prediction
data-driven-risk-modelling-for-tapioca-yield-prediction PublicTo develop a data-driven yield risk modelling framework that analyses the relationship between climatic stress factors and tapioca yield, enabling the identification and quantification of condition…
Repositories
- smart-supermarket-management Public
The rapid evolution of retail operations demands intelligent systems that enhance inventory control, minimize wastage, and improve customer experience. This study proposes a Smart Supermarket Management System that integrates real-time expiry monitoring, data analytics, and simulation-based layou...
- integrated-complaint-analysis-and-ai-enabled-spare-part-identification-for-smart-after-sales-service Public
The lack of data-driven complaint analysis prevents identification of recurring failures and critical components limiting improvements in service efficiency. In machine manufacturing industries, spare part identification is often error-prone and time-consuming, while training vision-based models...
- cet-college-canteen-optimization-using-queuing-theory-and-online-order-management-system Public
Optimizing the billing counter of cet college canteen using queing theory and developing and online order management sytem which provides online tocken generation,demand forecasting and sales and analytics
- quality-modelling-and-sustainabilty-assessment-in-manufacturing-processes-a-case-study-of-high-frequ Public
Statistical analysis of quality factors.
- data-driven-risk-modelling-for-tapioca-yield-prediction Public
To develop a data-driven yield risk modelling framework that analyses the relationship between climatic stress factors and tapioca yield, enabling the identification and quantification of conditions associated with yield reductions at the block level.
- braess-aware-system-optimized-routing-algorithm Public
Project Braess is a sophisticated urban traffic simulation and routing application designed to prove and mitigate the effects of Braess's Paradox in real-world city networks. The system moves beyond traditional "selfish" GPS routing (which optimizes for the individual driver) to a "holistic" Syst...
- integrating-financial-news-and-market-data-for-stock-prediction Public
This project proposes a five-layer hybrid stock prediction framework integrating fundamen tal analysis, deep learning models, technical indicators, and sentiment analysis into a unified system.
- real-time-quality-monitoring-in-production-using-scada-systems-at-hll Public
This project focuses on evaluating the impact of implementing a real-time quality monitoring system using SCADA in the production line at HLL. We analyzed the system performance before and after implementation by comparing parameters such as rejection rate, warning levels, and process efficiency....
- inventory-demand-forecasting-using-machine-learning Public
“It’s a machine learning-based demand forecasting system that predicts future sales using historical data, helping businesses optimize inventory and reduce losses.”
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