2021-2025
BTech CSE
Bennett University
CGPA
8.87
constcoder={name:'Sarthak Jain',skills:['React', 'NextJS', 'Node', 'Express', 'postgresql', 'MySql', 'MongoDB', 'Docker', 'AWS'],hardWorker:true,quickLearner:true,problemSolver:true,hireable:function() {return(this.hardWorker&&this.problemSolver&&this.skills.length>=5);};};ABOUT ME
Who I am?
My name is Sarthak Jain, and I'm currently pursuing a Bachelor's degree in Computer Science, diving deep into the world of technology. My primary focus lies in mastering full-stack development, where I'm actively engaged in learning various frameworks and tools pivotal in this domain.I am open to exciting opportunities that align with my skills and interests, eager to contribute my expertise to meaningful projects.
Skills
PROJECTS
Blog-It : A Blogging Website
constproject={name:'Blog-It : A Blogging Website',tools: ['Typescript', 'React', 'Postgres', 'Clouflare],Description: Developed an engaging and responsive blogging website using React and Typescript, ensuring a modern and user-friendly interface.Engineered a high-performance backend system leveraging Postgres and Prisma for data storage and retrieval, resulting in a 40% decrease in database query response time and a 25% increase in overall system efficiency.Deployed the website using Cloudflare Workers.,};Accident Detection System
constproject={name:'Accident Detection System ',tools: ['Python', 'Tensorflow', 'Pytorch', 'Git],Description: Developed an AI system utilizing dash cam and CCTV footage to automatically detect and alert authorities about accidents. Resulted in a remarkable reduction of emergency response time by 65%, effectively streamlining accident response procedures.Implemented cutting-edge deep learning algorithms, specifically Convolutional Neural Networks (CNNs), to analyze footage and identify potential accidents in real-time.,};Driver Drowsiness Detection System
constproject={name:'Driver Drowsiness Detection System',tools: ['Python', 'OpenCV', 'Keras', 'Jupyter],Description: Engineered a Driver Drowsiness Detection System using Python, achieving an accuracy rate of 93% by leveraging computer vision libraries such as OpenCV. Trained the model to monitor the driver’s eyes and mouth state, providing real-time alerts to prevent road accidents rate by 38% caused by driver fatigue. Established a continuous improvement process, incorporating user feedback to enhance the overall accuracy and effectiveness of the system over time.,};
Education
2020-21
Class 12th
VV DAV Public School
Percentage
93.4%
2018-19
Class 10th
VV DAV Public School
Percentage
93.2%
CONTACT
Contact me
If you have any questions or concerns, please don't hesitate to contact me. I am open to any work opportunities that align with my skills and interests.
sarthakjain3241@gmail.com
+91 8851081186
Dwarka, New Delhi-110075, India