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Daily Archives: November 8, 2024

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A Short Review on Botany, Phytochemistry and Medicinal Potential of Christ’s Thorn Jujube

A Short Review on Botany, Phytochemistry and Medicinal Potential of Christ’s Thorn Jujube/strong>
Authors:-Ruwa Talib Arffa, Sivamani Selvaraju

Abstract-Ziziphus spina-christi, commonly known as Christ’s thorn jujube, is a hardy deciduous shrub native to arid and semi-arid regions of Africa and the Middle East. This species is characterized by its thorny branches, small, yellow-green flowers, and edible drupes. Z. spina-christi is of considerable ecological and economic importance; it plays a vital role in soil stabilization and desert reclamation due to its deep root system. Additionally, the plant has various traditional uses, including medicinal applications, as a source of fodder, and for its wood, which is valued for its durability. Recent studies have highlighted its potential in sustainable agriculture and agroforestry, particularly in drought-prone areas. The present review highlights the botanical characteristics, ecological significance, traditional uses, and potential applications of Z. spina-christi , underscoring its value in both cultural practices and environmental conservation.

DOI: 10.61137/ijsret.vol.10.issue5.307
55

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Vehicle-Focused Traffic Mapping for Forecasting Urban Movement and Detecting Peak Congestion Periods

Vehicle-Focused Traffic Mapping for Forecasting Urban Movement and Detecting Peak Congestion Periods/strong>
Authors:-Atharva Daga, Aditya Wandhekar

Abstract-Effectively managing urban traffic dynamics is essential for optimized city planning and administration. This research focuses on a vehicle-centric approach to traffic mapping, aiming to predict congestion levels and identify peak traffic times within urban areas. The main objective is to forecast daily traffic density and detect periods of high congestion to support improved traffic management. To achieve this, we analysed real-time CCTV footage from Nasik Smart City Office, collected from key routes—Pathardi Gaon Circle and Golf Club Ground Circle — over a continuous five-day span. The findings confirm that real-time CCTV data delivers accurate congestion predictions and enhances traffic control strategies. By applying this methodology, we provide a reliable solution for traffic authorities, enabling them to take proactive measures to mitigate traffic congestion and improve overall traffic flow. This research contributes to the advancement of intelligent transportation systems, highlighting the value of incorporating real-time data into urban traffic management solutions.

DOI: 10.61137/ijsret.vol.10.issue5.306
55

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Advanced Multi Model RAG Application

Advanced Multi Model RAG Application/strong>
Authors:-Professor Disha Nagpure, Sujal Pore, Shardul Deshmukh, Aditya Suryawanshi

Abstract-This paper presents a modular, context-aware multimodal Retrieval-Augmented Generation (RAG) application that leverages both chain-based and agentic execution strategies. Powered by Gemini 1.5 Flash as the core language model, the system integrates Langchain and Langsmith frameworks to enable dynamic document retrieval, task orchestration, and seamless handling of multiple data sources. Key features include a YouTube summarizer using transcript APIs, real-time web search via the Tavily search tool, and support for text, image, and audio inputs, with OpenAI’s Whisper model for speech-to-text conversion. The application’s contextual awareness is enhanced by chat memory fallback functions, ensuring continuous, coherent interaction across sessions. Additionally, vector databases are employed for efficient multimodal retrieval. This system represents a significant advancement in RAG applications, offering flexibility, scalability, and adaptability across various input modalities and real-time tasks.

DOI: 10.61137/ijsret.vol.10.issue5.305
55

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