SCR launches ‘Alpha Inspector' app for chief loco inspectors
South Central Railway (SCR) GM Arun Kumar Jain has launched the 'Alpha Inspector' Application - a web and mobile platform leveraging Artificial Intelligence (AI) and GPS technologies.
Designed to enhance chief loco inspectors' efficiency, the application automates movement tracking and record-keeping, reducing manual workload.
It provides real-time access to loco pilot (LP) and assistant loco pilot (ALP) operational data, enabling quicker responses to anomalies at divisional and zonal levels.
Earlier, he held a video conference with his divisional managers where he reiterated that safety is paramount in railway operations, emphasising strict adherence to safety protocols and the avoidance of shortcut methods.
Special emphasis was placed on safety measures at road under bridges (RUBs) and level crossings, with instructions to install at least two height gauges at all RUBs to enhance track safety.
Addressing recent incidents, he reviewed cattle run-over cases, stressing the necessity of pro-active measures to prevent disruptions in train movement. The status of fencing along vulnerable track sections was also examined.
On Saturday, the GM had flagged off and pedalled during the 'Fit India Cyclothon' event along with other officials at Railway Sports Complex, Secunderabad.
The event was organised by SCR Sports Association as part of the Khelo India Scheme's FIT INDIA initiative and with an objective of integrating fitness into the daily routine.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Indian Express
7 hours ago
- Indian Express
Gujarat to launch AI-based system to cut dropout rate in schools
With Gujarat being among the states with the highest dropout rate in secondary education, the state government has devised an Artificial Intelligence (AI)-based Early Warning System (EWS) to curb dropouts. To be launched across the state during Shala Praveshotsav and Kanya Kelavani, a three-day school enrolment drive to be kicked off on June 26, the EWS will provide information and send out alerts on potential dropouts in Classes 8 and 9. Already piloted in a few schools during the 2024-25 academic session, the EWS uses students' data maintained at the Vidya Samiksha Kendra (VSK). Each student enroled in government-run and aided schools has a unique identification number, which is stored and tracked by the VSK. 'The Early Warning System aims at identifying students at risk of dropping out of school at the secondary level, based on identification of key indicators. Once 'at-risk' children are identified, they will be provided support through preventive response strategies and interventions to meet their specific needs. Continuous monitoring and tracking will be done at the school, cluster, district and state level to retain children in schools,' an Education department official told The Indian Express. All government and aided schools in Gujarat are equipped with Child Tracking System (CTS). Based on algorithm, factors considered to ascertain possible dropouts include absenteeism, child's behaviour, academic performance and other factors like migration, socio-economic background along with demographic information. Data on potential dropouts will be shared with every school during the enrolment drive in the state. To prevent children from dropping out, the School Management Committees (SMCs) and School Management Development Committees (SMDCs) will also seek the local community's help to interact with the children and their parents, as alerted by the EWS. The list of potential dropouts will also be shared with the coordinators of block resource centres (BRCs) and cluster resource centre (CRCs), school principals as well as teachers and the school management committee (SMC) to ensure these students are provided all the necessary assistance. Officials at the education department also said that schools will be directed to involve children's parents in the admission process to make them understand the importance of school education for the development and progress of the child. The school administration will also have to ensure that children attend school regularly. Under behavioural issues, disruptive classroom behaviour, conflicts with peers or teachers, increased aggression, or withdrawal from social activities have been listed. As per the Department of School Education and Literacy's UDISE dashboard for 2023-24, the retention rate in secondary schools in Gujarat was 44.3 per cent. The Gross Enrolment Rate (GER) at the secondary and higher secondary levels is 58.7 per cent, whereas the dropout rate at these levels is 16.7 per cent. Gujarat is ranked with states like Madhya Pradesh, Uttar Pradesh, Jharkhand, Assam, Arunachal Pradesh and Jammu and Kashmir, which have a GER of 50.1-60 per cent in secondary classes. Shala Praveshotsav was launched by the Gujarat government in 2003 to promote school enrolment and keep drop-out rate in check. As part of the initiative, ministers, bureaucrats and police officers visit schools in teams to enrol students. The government has set a target of getting 25.75 students enroled for the 2025-26 academic session. Of them, 10.5 lakh are eligible for admission in Class IX, 6.5 lakh students for admission to Classes 10 and 11, and 8.75 lakh for admission in Balvatika. The Shala Praveshotsav and Kanya Kelavani this year will target secondary and higher secondary schools. Out of a total of three schools to be visited by each official on each of the three days of the exercise, one should be primary and two secondary and higher secondary schools.
Hindustan Times
10 hours ago
- Hindustan Times
NIOS plans to launch AI chat bots, mentor-mentee app to help students
New Delhi: The National Institute of Open Schooling (NIOS) is planning to launch Artificial Intelligence (AI) chatbots in languages and a mentor-mentee based app to help students by 2027, open board chairperson Pankaj Arora said on Wednesday. 'Open schooling in future integrates its functioning with are developing AI-driver learner resource centre to provide virtual mentors to every student. It will be very useful for students coming from remote areas and marginalised background,' said Arora while addressing the event on the first day of the two-days academic consultation meet on 'education without walls in line with National Education Policy (NEP) 2020,' He said that NIOS is planning to bring chatbots in different languages to help students get resolutions of their queries in their own languages, not necessarily in Hindi and English. 'We are also planning to introduce a mentor-mentee model-based app for our students. We want to bring virtual mentors for students from whom they can discuss their course materials and other questions. We are aiming to launch both by 2027, but we are hoping that we will bring both of them very early,' he told HT.
&w=3840&q=100)
Business Standard
19 hours ago
- Business Standard
Use of AI likely to help enhance sugarcane production by 30%, say expert
The use of Artificial Intelligence (AI) could bring down the need of water in sugarcane farming by 50 per cent and increase the per acre produce by nearly 30 per cent, an expert in the field said on Wednesday. Notably, a meeting was recently held in Pune in the presence of Maharashtra Deputy Chief Minister Ajit Pawar and former Union Agriculture Minister Sharad Pawar where the use of AI in sugarcane farming was discussed. A Memorandum of Understanding (MoU) between the Vasantdada Sugar Institute and Agricultural Development Trust was signed to explore ways to ensure this technology reaches as many farmers as possible. "Microsoft has already worked for a long time on the use of AI for sugarcane cultivation and is assuring 30 per cent growth in sugarcane production and curtailing water usage (in its farming) to half. This will help to run the sugar mills for a longer time (more than 110 days) and losses will also be less," Maharashtra State Co-Operative Sugar Factories Federation Ltd director Jayprakash Dandegaonkar told PTI. 'The 40 (23 co-operative and 17 private) sugar mills in Maharashtra which do not owe any debt to the VSI will be included in this project (of AI use in sugarcane cultivation)," he said. A group of 25 sugarcane cultivating farmers in a two-km radius will have a station (automated AI facility) which will report to war rooms of the Krishi Vigyan Kendra and the VSI, the former state minister said. An amount of Rs 25,000 may be needed initially for the cost incurred by a farmer. The war rooms will alert these farmers in a few seconds about steps to be taken during the cultivation, he said. This technology will work on forecasting, soil testing, watering alerts, limiting the use of pesticides and protecting nutrients of the soil, he added. The tonnage of sugarcane in Maharashtra has gone down, Dandegaonkar pointed out. "Due to less rainfall, the per acre production in the state has come down to 73 tonnes. The use of AI can definitely help us to reach at least 150 tonnes per acre in the near period," he said. "Farmers need to install drips in their fields for this (irrigation). We can expect the first such station (automated AI facility) installed and put into operation by August-end or the first week of September," he added. (Only the headline and picture of this report may have been reworked by the Business Standard staff; the rest of the content is auto-generated from a syndicated feed.)
