Imagination Trumps Knowledge!

FEATURE PROJECTtalkPDF
TalkPDF is a SaaS application built with Next.js, TypeScript, Clerk API, OpenAI API, PineconeDB, Langchain, Stripe, Firebase, and Daisy UI. The app allows users to upload PDFs and interact with an AI-powered chatbot that extracts and provides requested information from the document. Leveraging OpenAI and Langchain for natural language processing and PineconeDB for vector storage, TalkPDF offers seamless document analysis. Users can upgrade via Stripe to access pro features, allowing for the upload of additional PDFs and extended functionality. The platform integrates Firebase for database management.

FEATURE PROJECTNextPay
NextPay is a financial platform built with a monorepo architecture using Next.js, TypeScript, and Postgres. It offers features such as onramp money transfers and peer-to-peer (P2P) lending, enabling secure and efficient transactions. Leveraging the scalability of Postgres and the flexibility of TypeScript, NextPay ensures high performance and reliability. The monorepo setup enhances maintainability and streamlines development across multiple services, while Next.js powers the seamless front-end experience. This robust tech stack provides a scalable solution for modern financial operations.

FEATURE PROJECTKuberX
KuberX is a full-featured finance tracking web application built with React.js, Tailwind CSS, Node.js, Express, Flask, and MongoDB. The platform supports AI-powered receipt extraction using TensorFlow and OCR, enabling users to upload receipts for automatic transaction categorization. It also features peer-to-peer (P2P) lending, real-time market insights powered by GPT 3.5, and integrates Matplotlib and NumPy for data visualization. Additionally, KuberX includes chatbot support for finance-related queries and offers direct expert consultation via video calls. The backend handles complex data processing with scalable APIs and efficient database management.

FEATURE PROJECTAnn-Data
Anndata is a data-driven agricultural platform designed to enhance Indian farming practices. Built using React, Tailwind CSS, Node.js, MongoDB, and Python, it empowers farmers with precision farming tools and real-time decision-making support. The platform includes an AI-powered chatbot utilizing Gen AI and LLM models for personalized farming advice, disease detection powered by YOLO v8, and a marketplace connecting farmers directly with consumers. It also features a crop recommendation system using a Support Vector Classifier with scikit-learn and Razorpay integration for seamless payment processing. Anndata leverages AI and machine learning to optimize the agricultural supply chain and improve yield.

FEATURE PROJECTW-Connect
• W-Connect is an application to match mentors with mentees based on their common preferences and requirements • Website was made using React and NextJS. The preferences of the user along with user data was stored in Firebase

FEATURE PROJECTPORTFOLIO
A portfolio website using Nextjs and TailwindCSS is a great way to showcase skills. It has a clean design and easy navigation with separate pages for projects, skills, and about me. Projects have details on tools used, skills list expertise, and About Me page has bio, resume, and contact information. It offers a professional online presence for potential clients/employers to learn about skills and accomplishments.

PROJECTMES Website
• An interface which will showcase all the events taking place and their details. The whole website is made using ReactJS and Sass is used for CSS • Registration and Login feature for the Users added with the facility to register for their favourite events. The user data and their registered events is being stored in MongoDB • Utilized responsive design to ensure compatibility across all devices