I am Somyadip Ghosh,
a fullstack web
developer

As a core team member of Team CodeARC, I have been actively involved in developing an end-to-end ecosystem solution aimed at streamlining the unorganized recycling sector in India, leveraging technology to promote sustainability and operational transparency.

As the Vice President and a core team member of Team Tech Defenders, I have successfully managed and coordinated multiple technical events, fostering innovation, collaboration, and community engagements.

As a core team member and team lead of Team Byte Gurus, I have lead the team to SIH 2023 College Hackathon nomination rounds, making significant contributions to the development of a Smart Classroom Management System website using Laravel, focusing on efficient classroom operations, user management, and real-time data handling.

As an extended member of DevDotCom, I am responsible for managing the DevDotCom Discord server, ensuring smooth community engagement, technical support, and maintaining a collaborative environment for developers and tech enthusiasts.

Managed social media accounts and executed promotional strategies to enhance event visibility and engagement across digital platforms. Successfully increased audience reach and participation through targeted content and consistent branding. Additionally, I played a key role in organizing the event, overseeing end-to-end planning and execution to ensure its success.

I'll be spreading the word, connecting with brilliant minds, and helping bring together a vibrant tech community for one of India's most exciting hackathons.

Developed an Object Recognition System and RecyCraft, an end-to-end platform. Took full responsibility for designing and implementing both the frontend and backend components, ensuring seamless user experience, robust functionality, and system scalability.

Developed a Smart Classroom Management System website using Laravel, focusing on efficient classroom operations, user management, and real-time data handling. Ensured clean architecture, secure authentication, and responsive design. Nominated, but could'nt made it to the finals.

Developed a real-time Attrition Prevention Dashboard using HTML, CSS, and JavaScript. Focused on visualizing employee data to identify potential attrition risks, enabling proactive decision-making through interactive charts, responsive design, and real-time updates.

Designed and developed a Power Grid Management System using the MERN stack (MongoDB, Express.js, React.js, Node.js). Focused on real-time monitoring, data visualization, and efficient grid resource management with a responsive and user-centric interface.

I played a key role in organizing InnovoCon 2025, overseeing end-to-end planning and execution to ensure the event's overall success. My responsibilities included coordinating with teams, managing logistics, and ensuring smooth delivery of all sessions and activities.

Developed a Smart Interview Management System website using PHP, aimed at streamlining interview scheduling, candidate tracking, and evaluation processes. Implemented secure authentication, user role management, and an intuitive interface for enhanced usability.

We developed Fakebuster AI during Hack4Bengal 4.0 Virtual Hackathon, an innovative solution designed to detect and combat misinformation and fake content using advanced artificial intelligence techniques.

Won App Development Competition called App-e-teaser in Our College Tech Fest.

The device employs a sophisticated array of accelerometers and gyruscipes, strategically positioned to achieve comprehensive and procise posture monitoring. Ling advanced sensor fusion algorithms, it detects even minor deviations from optimal posture with greater accuracy than carrent devices. A standout feature of this invention is its adaptive feedback mechanisan, which provides multi-modal feedback including vibrations, auditory alerts, and visual cues vis integrated LEDs or m optional OLED display. This feedback is dynamically adrusted bused on the severity and duration of the posture deviation, ensuring that the user receives appropriate and non-maruseve corrective pranges. Moreover, the invention inegrates machine leaming algorithms to personalize the posture correction process. By analyvang the user's unique posture habits over time, the device adapts its feedback strategy to each individual, enhancing long-term effectiveness. The device also features seamless connectivity through Bluetooth and Wi-Fi, linking to a dedicated mobile applica application that offers real-time posture data, cloud-based trend analysis, and a integration with other health monitoring systems. To address battery life concerns, the invention includes an intelligent power management system that optimizes sensor activity and feedinck intensity based on real-time usage, ensuring prolonged battery life.

The Adaptive Learning Companion Device is an itmovative educational Itool that integrates advanced hardware with artificial intelligence (Al) and machine learning (ML) to deliver a personalized and dynamic leaming experience. The device includes a o central processing unit, a touch screen display, and various sensors such as cameras and biometric sensors that monitor and analyze the learner's engagement, performance, and physiological responses in real-time. Using Al-driven algorithms, the device dynamically adjusts educational content, including its difficulty, sequence, and format, based on the learner's individual needs and progress. li provides personalized feedback and recommendations, supports multiple input methods (such as voice, stylus, and keyboard), and seamlessly integrates with existing educational platforms. By combining real-time adaptability with multi-modal interaction, the device enhances engagement, improves educational outcomes, and offers a tailored leaming experience across diverse educational settings.