Sohan Thakur Email and Phone Number

👋 Greetings! I'm Sohan, a passionate MERN and Python Developer with a love for turning ideas into reality through clean and efficient code.Driven by a curiosity to solve problems and a love for elegant solutions, I specialize in Full Stack Web development using Python and MERN. My approach is rooted in a commitment to writing code that is not only functional but also maintainable and scalable.💻 Technical Proficiency:Languages: MERN, Python, HTML, CSSFrameworks: DjangoTools: GitHub, VS CodeDatabases: Microsoft SQL Server, MongoDB🌟 What I Bring to the Table:Solid understanding of MVC FrameworkExperience in Varnet Solution Pvt. Ltd.📚 Educational Background:I hold a degree in B. Tech from R.G.P.V. My academic journey has equipped me with a strong foundation in web development principles and best practices.🔗 Key Projects:1.Full Stack MERN Project: A web application that stores tasks in the database and helps users create to-do lists and assign tasks to others.Key Features:User Authentication: Secure sign-up and login functionality using JWT to ensure user data protection.Task Management: Allows users to create, read, update, and delete tasks, with the ability to set deadlines and priorities.Task Assignment: Users can assign tasks to other users and track the progress.Real-time Collaboration: Integrated with WebSockets to enable real-time updates and notifications when tasks are created, updated, or assigned.Search and Filter: Advanced search and filter options to help users quickly find specific tasks based on status, priority, or due date.Responsive Design: Optimized for both desktop and mobile use to ensure a seamless user experience across all devices.2.Driver Drowsiness Detection System: As a Python Developer, I spearheaded the development of a system aimed at enhancing road safety and mitigating the risks associated with driver fatigue.Key Features:Algorithm Implementation: Designed and implemented a robust facial recognition algorithm using OpenCV and Dlib to accurately detect facial landmarks and monitor changes indicative of drowsiness.Machine Learning Integration: Leveraged TensorFlow to train the system on a diverse dataset of facial expressions and eye movements, achieving high accuracy in drowsiness prediction.Real-time Processing: Engineered the system for real-time processing, optimizing code efficiency to ensure low-latency detection and alerting mechanisms for timely intervention.🤝 Let's Connect:Best,Sohan Singh Thakur