SITS'25 | Exploring the world of DSA and Web Dev 🧑‍💻 | Passionate Leetcoder | MERN Developer | C++ Programmer

Ayush Kumar Pandey  • Peerlist

Our final year project, sponsored by INRBonds, focuses on automating the KYC (Know Your Customer) process. This sponsorship has allowed us to tackle real-world challenges in the financial sector, particularly in streamlining verification processes and ensuring both privacy and security for users.

Real-World Problem: The manual KYC processes can take days or even weeks to complete, creating frustration for customers and inefficiencies for financial institutions. Moreover, with increasing regulatory scrutiny, the need for a secure and compliant verification process is paramount.

Our Solution:
Advanced Authentication: We implemented AI-based facial recognition and multi-factor authentication to ensure accurate and reliable identity verification.
Automation of Processes: By developing a streamlined KYC solution that integrates with secure APIs, we automated document handling and verification procedures, minimizing manual intervention.
Privacy and Security: We prioritized data protection by incorporating robust encryption and secure data storage, ensuring compliance with privacy regulations.

Benefits to the Community:
Enhanced Customer Experience: Our solution simplifies the KYC process, making it faster and more convenient for users, thereby improving overall satisfaction.
Increased Efficiency: By reducing the time and resources required for manual verification, financial institutions can focus on core operations and service delivery.
Improved Accuracy: Utilizing AI reduces human error in data entry and document handling, leading to more reliable verification outcomes.
Cost Reduction: Automation lowers operational costs, making financial services more accessible and affordable for customers.

Automation of KYC Process

Real-World Problem: Effective communication and task management are essential for productivity, especially in collaborative environments. Many existing applications lack the integration of to-do lists and chat functionalities.
• Built "Glitch Application," a sophisticated to-do list and chat app with a modern UI. Customized and styled
responsive, modern interfaces using Tailwind CSS.
• Built components, managed state, and handled events using ReactJS and TypeScript for enhanced code quality
and productivity.
• Developed a feature-rich to-do list application with Redux integration.
• Created a real-time chat application with messaging, user profiles, and notifications.
• Set up Firebase for real-time data management and implemented secure authentication and authorization.

Giitch Chat App

Real-World Problem: Finding the right fit when shopping online can be challenging, leading to frustration and high return rates for e-commerce businesses. Many users are unsure if new clothes will fit based on their
• MyMagic Fit is a platform for finding the perfect fit, which simplifies the process by allowing users to compare new
clothes with those that already fit them well.
• Users start by selecting an outfit and adding it to their MagicFit profile, capturing their size preferences. The platform
then compares these sizes with those of new outfits to predict a perfect fit.
• Built using React.js with Redux for robust state management and Tailwind CSS for a modern, responsive design,

MyMagic Fit

• Developed an edtech platform with React, Express, MongoDB, and JavaScript, boosting user engagement by 30%
and reducing response time by 25%.
• Built a robust backend using Express and MongoDB, implementing comprehensive CRUD operations for video
uploads, content management, and feature access.
• Implemented secure user authentication and authorization with JWT, protecting sensitive user data.
• Streamlined automated deployment, version control, and integrated Razor Pay for seamless payments.