Rajasthan farmer's daughter defies odds, tops RBSE 12th exam
In a remarkable journey of perseverance and determination, a young girl from Suratpura, a small village near Rajgarh in Rajasthan, has emerged as one of the top scorers in the Class 12 state board examinations in the science stream. Scoring a near-perfect result — full marks in all subjects except Hindi, where she lost just one mark — Preeti Puniya has made her village and family immensely proud.
Hailing from a humble background, she comes from a farming family that leads a modest, agriculture-based life. She has two brothers and lives in a joint family with her uncle and aunt. Despite the limited resources, she never allowed her circumstances to limit her aspirations.
The RBSE Class 12 result was announced on May 23. Among the regular candidates, girls have outperformed boys in the Science stream with a pass percentage of 99.04 per cent, compared to 98.41 per cent of boys. A total of 1,01,727 girls passed the Class 12 Science exam. On the other hand, 1,64,657 boys passed.
Puniya leads a disciplined life. 'I used to wake up at 4 am and study till 6 am, followed by household chores before going to school. After returning, I helped at home again and then focused on studies,' she said, adding that she took the help of Physics Wallah (PW) classes.
Interestingly, she did not own a smartphone. Her elder brother, who attends college, would download the required classes and study material for her. This arrangement did not deter her spirit; instead, it motivated her to make the most of what was available.
She studied in Sarvodya Public School, Rajgarh, and had previously scored 97.33% in her Class 10 board exams in 2023. A student from the PCB (Physics, Chemistry, Biology) stream, she has a deep interest in Chemistry and aims to pursue graduation while preparing for the prestigious UPSC examination.
Talking about handling stress, she admits it wasn't easy. 'There were times when I couldn't even express how I was feeling, but my family was supportive, and that made things easier,' she said.
Mridusmita Deka covers education and has worked with the Careers360 previously. She is an alumnus of Gauhati University and Dibrugarh University. ... Read More
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Hindustan Times
3 hours ago
- Hindustan Times
IIT-Bombay leads push for India-centric AI
Mumbai: Indian Institute of Technology (IIT) Bombay has released 16 new datasets on AIKosh, the central government's platform that provides a repository of datasets to enable artificial intelligence (AI) innovation. This is a major step in developing AI that understands India's linguistic and cultural landscape, professor Ganesh Ramakrishnan, from IIT Bombay. These datasets will support innovation and research in AI and machine learning (ML), especially in areas involving Indian languages, scripts, documents, media, and audiovisual content. The effort is part of BharatGen, a multilingual large language model (LLM) initiative led by IIT Bombay and funded by the Department of Science and Technology. So far, BharatGen has contributed 16 India centric datasets and launched 21 AI models on AIKosh. The initiative includes top institutions such as the International Institute of Information Technology in Hyderabad and the IITs of Kanpur, Mandi, Madras, Hyderabad, Indore. IIT Bombay's datasets are designed to build a solid foundation for developing Indian AI tools and applications. These include over 218,000 sentences for improving digitisation of Sanskrit texts, audio-visual data on practical skills like upcycling discarded materials into toys and organic farming, English-Sanskrit translations with 53,000 sentences for modern prose, over 78 hours of Sanskrit audio for speech recognition, multilingual question-answer sets in 11 Indian languages, including Hindi and English, math word problems in Hindi and English for AI reasoning, and table detection datasets in 14 Indian languages. The datasets include visual question answering models (a system capable of answering questions related to an image), datasets to improve translation accuracy and recognize text in videos, a comprehensive overview of Indian Knowledge Systems (IKS), cross-lingual video and text retrieval in seven Indian languages (allowing AI to retrieve relevant information when the document is written in a different language from the query), and handwritten and printed text detection datasets. These datasets and models are part of a broader effort by IIT Bombay and BharatGen to build sovereign AI models for India aligned with the India AI Mission, a central government initiative that aims to build an ecosystem that allows AI innovation by enhancing data quality and facilitating computer access. The team is not just fine-tuning existing models, but training new ones from scratch using Indian data. They are also building benchmarks to test these models for Indian use in conversation and education. A major highlight of this initiative is the launch of 'Param 1', a bilingual foundational language model with 2.9 billion parameters. It supports both English and Hindi and has been trained on 36% Indic language data—significantly more than international models like Meta's Llama, which had less than 0.01%. 'Pre-training (the initial stage of training a machine learning model on a large dataset) is an enormous undertaking and often a barrier for many. That's why we've taken on this challenge,' professor Ramakrishnan, lead of BharatGen. Developers can now fine-tune Param 1 to build Indic chatbots, copilots (virtual assistants for research), and knowledge systems. 'We hope our efforts toward creating a sovereign Generative AI ecosystem and milestones such as the release of such LLM model checkpoints, serves as a foundation for India-specific solutions,' said professor Ramakrishnan. Alongside Param 1, BharatGen has launched over 20 speech models across 19 Indian languages. These include speaker adaptive text-to-speech (TTS) systems that can mimic a speaker's voice in languages like Hindi, Tamil, Telugu, Marathi, and Bengali. Advanced speaker-conditioned TTS models and automatic speech recognition systems have also been developed to make voice-based applications more natural and inclusive. 'Our goal is not just to build AI models but to provide resources that startups and system integrators can leverage,' said professor Ramakrishnan.
Mint
13 hours ago
- Mint
Bhool Chuk Maaf Box Office Collection Day 9: Rajkummar Rao's film earnings decline, mints THIS amount on Saturday
Bhool Chuk Maaf Box Office Collection Day 9: Rajkummar Rao and Wamiqa Gabbi starrer sci-fi romantic comedy Bhool Chuk Maaf entered the second week and its earnings have remained constant at the box office in past four days. According to industry tracker the movie earned an estimated amount of ₹ 3.33 crore on Saturday. Also, the Bhool Chuk Maaf had an overall 16.06 per cent Hindi Occupancy on Saturday. City-wise, the highest occupancy was recorded in Chennai (56%), followed by Bengaluru (22.33%), Jaipur (20.33%) and Pune (19.33%). The time-loop-based Bollywood movie was embroiled in a controversy over its theatrical release. Set in Varanasi, audience and film critics gave mixed reviews for Bhool Chuk Maaf and claimed that the movie lacked freshness and was similar to other offerings of Roa. According to Bhool Chook Maaf collected ₹ 58 crore worldwide till Friday, which includes ₹ 46.35 crore India net and ₹ 2.1 crore from overseas. The Amazon Prime Video description states, 'Ranjan, stuck in a time loop on his wedding day, must fulfil a forgotten promise to escape it. As he sacrifices his dream job for another's greater good, the film highlights compassion over ambition, reminding us of the power of kindness in a self-centred society.' Bhool Chuk Maaf stars Rajkummar Rao, Wamiqa Gabbi, Seema Pahwa, Sanjay Mishra, Raghubir Yadav, and Zakir Hussain in key roles.
Business Standard
14 hours ago
- Business Standard
RBSE Class 10 Boards: PhysicsWallah Student Scores 99.8%, Three Others Above 99%
VMPL Bharatpur (Rajasthan) [India], May 31:Several students from PhysicsWallah (PW) have recorded strong performances in the RBSE Class 10 Board Examinations 2025. Among them, Chanchal from Gopalgarh, Bharatpur has scored the highest marks with a score of 99.83%. Other top-performing students include Deepika from Weir with 99.67% and Avani Sharma from Sikar with 99.33%. These students have been a part of PW's online programs which have specifically been designed to support students preparing for Class 10th RBSE Board Examinations. In total, four students from PhysicsWallah scored 99% and above, 51 students achieved 98% and over 250 students have secured 95% and above. Commenting on the results, Alakh Pandey, Teacher, Founder and CEO of PhysicsWallah, said, "We congratulate all students who appeared for the exams and appreciate their effort. Class 10 board exams are an important academic milestone, laying the foundation for future studies and career choices. Our focus remains on providing structured learning support that helps students prepare effectively and stay on track. These results reflect steady progress toward that goal." "I prepared for each subject by completing the syllabus chapterwise. PW's online classes made it easy to understand concepts. I used to attend classes at 5 am for Maths and these really helped me," said Chanchal talking about how she supplemented her learning. This year, over 10 lakh students appeared for the RBSE Class 10 examination. The strong performances by many students highlight the increasing importance of structured academic preparation and the growing role of online learning platforms in supporting student success. PhysicsWallah provides academic resources for students across India through a combination of digital platforms and offline centers. About PhysicsWallah (PW) PhysicsWallah (PW), an education platform, was founded in 2020 by Alakh Pandey and Prateek Maheshwari. Headquartered in Noida, Uttar Pradesh, PW aims to democratize education through online, offline and hybrid platforms. Initially launched as a YouTube channel in 2016, PW now offers education to students through its YouTube channels, including vernacular languages. PW aims to create a hybrid education ecosystem in the country by establishing tech-enabled offline and hybrid centres in cities nationwide. PW's offerings span various educational segments, including test preparation, a skilling vertical, higher education, and education abroad. PW has raised funding from investors, including Hornbill Capital, Lightspeed Ventures, Westbridge and GSV Ventures.
