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Poogy is a vibrant collection of unique piglet NFTs that encapsulate the essence of joy, relaxation, and playfulness. Poogy is a dynamic platform developed with a modern and robust technology stack to ensure a seamless and engaging user experience. The frontend is built using Next.js, a React-based framework renowned for its server-side rendering capabilities and static site generation, which enhance both performance and SEO. To bring the playful piglet characters to life, GSAP (GreenSock Animation Platform) is utilized, providing high-performance animations that enrich the interactive aspects of the site. Hosting and deployment are managed through Vercel, offering seamless integration with the Next.js framework and facilitating continuous deployment for rapid iteration and updates. This combination of technologies ensures that Poogy delivers a smooth, interactive, and enjoyable experience for users exploring the charming world of piglet NFTs.

React application featuring role-based access control, utilizing React Router v6 for protected routing, and integrated components for task management, user administration, client and case management and calendar functionalities. Key Features and Technical Components: Task Management: Tools for adding, viewing, and managing daily tasks, including status(pending/completed). Client and Case Management: Comprehensive forms and data tables for managing client information and case details, providing a centralized repository for all case-related data. Calendar and Scheduling: Integrated calendar to schedule and manage meetings, court dates, and other events, with features for recurring events, notifications, and various viewing options, reducing reliance on external tools like Google Calendar. Administrative Dashboard: Overview of system activities, user management, and analytics, enabling administrators to monitor usage patterns, manage users, and maintain system integrity.

Developed the data module and advanced filtering functionalities for a lead generation platform akin to Apollo.io, engineered to handle over 100 million records with a focus on speed and scalability. Utilized React.js, Node.js, MongoDB, and Material-UI to create a responsive and efficient user interface. Implemented pagination, caching, payload compression to improve API performance Created python script to upload data from CSV to MongoDB instance, using py-mongo library.

X Rooms is a secure and efficient platform designed to facilitate effortless management of virtual meeting spaces, enhancing collaboration and communication within organizations. X Rooms is developed using a robust and modern technology stack to ensure a seamless user experience and secure management of virtual meeting spaces. The platform's frontend is built with Tailwind CSS, a popular utility-first CSS framework that enables rapid UI development and ensures a consistent and responsive design across various devices. The backend of X Rooms utilizes Django, a high-level Python web framework, to manage server-side logic and API endpoints. Data is stored in SQLite, a lightweight database engine. The platform is hosted on an AWS EC2 instance running Ubuntu, with Gunicorn serving the application to handle concurrent requests efficiently. To manage notifications for approval or denial of room requests, AWS Simple Email Service is integrated, enabling the platform to send emails efficiently and reliably. This integration ensures that all actions are recorded and communicated to users via email, maintaining transparency and effective communication.

Like myBillBook, it is a comprehensive GST billing and accounting software tailored for Indian small and medium-sized businesses. It facilitates the digitization of invoicing, inventory management, payment collection, and financial tracking, thereby enhancing operational efficiency. Key Features: Customizable Invoicing: Generate professional GST and non-GST invoices with personalized templates, including options for thermal, A4, and A5 prints. Inventory Management: Monitor stock levels with real-time updates, batch tracking, serialization, item infos. Payment Visualization: Dashboard leveraging ChartJS, showing realtime info on monthly expenses. Compliance Support: Simplify GST return filing with GSTR-1 data exports, e-invoicing, and e-way bill generation.

A Python automation script for centralized article uploads across multiple WordPress sites, integrating Google Sheets for content management. It ensures SEO optimization by including titles, content, featured images, alt tags, and meta tags. Python: Served as the core programming language for its versatility and extensive library support, enabling efficient development of the automation script. WordPress REST API: Leveraged to programmatically interact with WordPress sites, facilitating the creation and updating of posts, and allowing the script to handle tasks such as uploading titles, content, featured images, alt tags, and meta tags. Google Sheets Integration: Implemented to provide a user-friendly interface for content management, enabling the client to maintain and update article information easily. The script reads data from Google Sheets, ensuring that all necessary SEO elements are included and accurately uploaded to each site.

A platform like Dream11 that allows users to sign up, create rooms, and share room codes with their friends. These friends can then join the room to participate in an auction, create their team, and as the league progresses, a leaderboard tracks points and standings. I originally developed this with the concept of creating a franchise and participating in league-wide games. However, I’m now considering adding single-match games as well. Built using MERN, Firebase

An automated Python script that retrieves videos from Mega links, renames them, re-uploads them, and generates new shareable links, integrating Google Sheets for streamlined content management. To streamline the process, an automated Python script was developed with the following functionalities: Video Retrieval: The script utilizes the MEGAcmd tool to download videos from provided Mega links. MEGAcmd offers command-line access to MEGA services, facilitating automation of file operations. File Renaming: Upon successful download, the script programmatically renames each video file according to predefined naming conventions, ensuring consistency and organization. Re-Uploading and Link Generation: After renaming, the script uses MEGAcmd to upload the videos back to Mega, generating new shareable links for each file. Google Sheets Integration: To facilitate easy management and tracking, the script integrates with Google Sheets, allowing users to input Mega links and retrieve new shareable links in a centralized spreadsheet.

A Telegram bot using Python and OpenCV that allows users to send videos, automatically applies watermarks to the received videos, and returns the watermarked versions to the users. To facilitate the automated watermarking of videos through a Telegram bot, the following technologies and methodologies were employed: Python: Served as the primary programming language due to its extensive libraries and ease of integration with various APIs. python-telegram-bot Library: Utilized to interact with the Telegram Bot API, enabling the bot to receive videos from users, process them, and send back the watermarked versions. This library simplifies the implementation of bot functionalities such as handling messages and media files. OpenCV: Employed for video processing tasks, specifically to add watermarks to the videos. OpenCV provides robust tools for reading, modifying, and writing video files, making it suitable for overlaying watermarks onto video frames.

Developed AI agents specializing in website interaction and video analysis, including a YouTube playlist analyzer that offers diverse perspective analysis. Leveraging Agno, I have created specialized agents designed to enhance user interaction and content analysis across digital platforms: Website Interaction Bot: This AI agent autonomously navigates websites, uses the web information as knowledge base and utilizes Agno to pass it as VectorDB to the agent to understand and respond to user queries, enhancing user experience and operational efficiency. Video Analyzer: Designed to process and analyze video content, this agent employs Agno with Google Gemini to extract meaningful insights from videos. Applications include content moderation, metadata generation, and scene recognition, facilitating efficient video content management. YouTube Playlist Analyzer: This tool analyzes YouTube playlists to provide varied perspective analyses. By examining video content, comments, and metadata, it offers insights into themes, audience engagement, and sentiment, aiding in content strategy development and audience understanding.

Developed a series of Python scripts to scrape data from multiple websites, each tailored to extract specific information efficiently. The repository contains several Python scripts, each designed to scrape data from different websites: site1.py: Extracts data from taan.org using bs4 and openpyxl. site2.py: Extracts data from indmount.org using selenium, bs4 and openpyxl. site3.py: Extracts data from nidhi.tourism.gov.in using selenium and openpyxl. site4.py: Extracts data from photo.ntb.gov.np using selenium, bs4 and openpyxl. site4Continue.py: Continues extraction from photo.ntb.gov.np by using user id using selenium, bs4 and openpyxl. site5.py: Extracts data from hotelassociationofindia.com using bs4 and openpyxl. site6.py: Extracts data from adstransparency.google.com using selenium.

Turning Ideas Ventures helps startups accelerate growth by providing hands-on strategy, product development, and market insights. We co-create, validate, and scale innovative solutions for a global impact. Turning Ideas is a dynamic platform built with a modern, robust technology stack to ensure a seamless and engaging user experience. The frontend is developed using ReactJS, known for its server-side rendering capabilities and static site generation, which enhance both performance and SEO. For animations, we leverage GSAP (GreenSock Animation Platform), enabling high-performance animations that enrich the site's interactive experience. Hosting and deployment are managed through Netlify, ensuring seamless integration with ReactJS and enabling continuous deployment for rapid iteration and updates.