About the Website
The platform serves as a curated ecosystem for authentic products made in India ("Bharat"). Its primary mission is to empower rural artisans, women-led communities, and master craftsmen across various cultural geographies.
Core Offerings: The store features a wide range of products including handwoven textiles, sacred arts, artisanal home decor, and Ayurvedic products.
Key Categories:
Apparel: Supima cotton T-shirts with cultural themes (e.g., Shivaji theme, Sanatani prints).
Home Decor: Akhand Bharat wall clocks, tribal Gond art from Madhya Pradesh, and Phad art from Rajasthan.
Books: Spiritual and lifestyle literature, including the "B.O.S.S." (Basics of Sanatan Sanskriti) series by Pratiek Prajapati.
Sustainability: Features brands like Ecoshi, which uses temple flowers and kitchen waste to create eco-printed silk accessories.
Global Reach: The site supports worldwide shipping and international payment options, reaching over 30,000 buyers globally.
Technology Stack
While the site's privacy policy mentions Shopify (https://www.shopify.com/legal/privacy), the live site architecture suggests it primarily utilizes a WordPress foundation with powerful e-commerce and marketing integrations.
E-commerce Engine: WooCommerce (https://woocommerce.com/) (running on WordPress) for product management and checkout.
Payment Gateway: Razorpay (https://razorpay.com/) for secure Indian and global payment acceptance (including UPI, Net Banking, and Credit Cards).
Analytics & Marketing:
Google Analytics: For tracking user behavior and site traffic.
Web Beacons & Pixels: Used for remarketing and targeted advertising.
Content Management: WordPress (https://wordpress.org/), allowing for a blend of e-commerce functionality and cultural storytelling through blog posts.
Security: SSL encryption and Razorpay's secured payment protocols
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FreshCart: Full-Stack E-Commerce Grocery Solution
Tech Stack: React, Node.js, Express, MongoDB, REST APIs
### Project Overview
FreshCart is a high-performance MERN stack application designed to streamline online grocery shopping. It features a dynamic product catalog with real-time filtering, a persistent shopping cart, and a responsive UI optimized for all devices.
### Key Technical Contributions
Dynamic UI: Developed a responsive frontend in React featuring instant category filtering (Vegetables, Fruits, Dairy) and a seamless search experience.
Scalable Backend: Built a Node.js/Express REST API to manage secure product CRUD operations and user authentication.
Flexible Data Modeling: Designed a MongoDB schema to handle diverse grocery attributes, inventory levels, and category relationships.
State Management: Implemented a robust cart system that ensures data persistence across user sessions.
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## AutoCaption: AI-Powered Video Subtitling Platform
Role: Full-Stack Developer
Tech Stack: Laravel 13, React, PHP 8.4, OpenAI Whisper, FFmpeg
### Project Overview
AutoCaption is a sophisticated video editing tool designed to automate the transcription and captioning process. By integrating AI-driven speech recognition, the platform allows creators to generate, edit, and style captions in real-time, significantly reducing the manual effort required for video post-production.
### Key Features & Implementation
Multilingual AI Transcription: Utilizes OpenAI Whisper models to accurately transcribe audio into text, supporting multiple languages and regional dialects (as seen with the Hindi/Hinglish example).
Interactive Timeline Editor: Built a custom React-based timeline that allows users to precisely sync text segments with video timestamps, adjusting start and end times with drag-and-drop ease.
Dynamic Styling Engine: Developed a comprehensive styling sidebar where users can customize:
Typography: Select from a library of modern fonts (e.g., Montserrat, Roboto).
Visuals: Real-time adjustments for font size, color, background highlights, and text shadows.
Presets: Quick-apply "Modern," "Elegant," or "System" styles for brand consistency.
Video Processing Pipeline: Implemented a backend architecture using FFmpeg to handle high-resolution video rendering, ensuring that stylized captions are "burned" into the final export without quality loss.
### Technical Highlights
Real-time Preview: Engineered a seamless bridge between the React frontend and the video player to show caption changes instantly as the user edits styles.
Scalable Backend: Leveraged Laravel 13's robust job queuing system to process video rendering tasks asynchronously, maintaining a responsive user interface during heavy compute tasks
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Loan Management System
Tech: React, Laravel 13, PHP 8.4, MySQL, REST APIs, Role-Based Access Control (RBAC)
Built a full-stack loan management system with separate User, Agent, and Super Admin portals, implementing secure role-based access and approvals.
Enabled agents to onboard users, create loan requests on their behalf, and earn commission based on sanctioned loan amounts, with minimum tenure rules (30+ days) enforced at the API layer.
Implemented an admin workflow to accept/reject loan applications, auto-generate EMI schedules by tenure type, and handle status transitions including settled, waived, closed, and penalty states.
Developed EMI logic to calculate due dates, missed payments, and penalties and surfaced the information in React dashboards for quick decision-making by admins and agents.
Designed normalized MySQL schemas and Laravel services that keep loan, EMI, penalty, and commission records consistent and auditable across the system