Software Developer | Computer Science Engineer | Aspiring Innovator

I am a Computer Science Engineering student at Parul University, Vadodara, expected to graduate in 2025. With a solid foundation in Software Development and a passion for technology, I have developed skills in various programming languages, frameworks, and tools. My focus is on creating efficient, scalable, and user-friendly software solutions.

• BTech in Computer Science Engineering
  Parul University, Vadodara (July 2021 – June 2025)
  CGPA: 7.54

• Programming Languages: C, C++, Python, Java, JavaScript
• Web Development: HTML, Bootstrap, TailwindCSS, React, Node.js, Express.js, Next.js, jQuery, Angular
• Databases: MongoDB, MySQL, FirebaseDB, Redis
• Development Tools: Git, GitHub, AWS, Docker, IntelliJ IDEA, VS Code, Eclipse IDE, Postman
• Frameworks & Libraries: React.js, TailwindCSS, Next.js

• Developed a secure intern dashboard application to enhance intern experience and management.
• Implemented Firebase Authentication for secure login and MongoDB for data storage.
• Enhanced user interface using Next.js and TailwindCSS.
• Key Technologies: Next.js, TailwindCSS, MongoDB, Postman

• Developed a platform for users to buy and sell used books.
• Integrated a recommendation engine for personalized suggestions.
• Implemented secure transactions and a messaging feature for book requests.
• Key Technologies: React.js, Node.js, Express.js, MongoDB, FirebaseAuth, Docker

(June 2023 – Present)
Part of the Smart India Hackathon, I developed the E-Waste Trade Hub platform designed to facilitate seamless transactions between buyers and sellers of electronic waste. The platform allows sellers to upload e-waste details and photos, and buyers can express interest by sending a price offer. If the seller accepts the offer, a notification is sent to the admin for further processing.

Key Features Added:

• Multi-tier Authentication System: Implemented a secure authentication system for buyers, sellers, and administrators using Firebase Authentication and JWT tokens.
• Multilingual Support: Integrated multilingual support to allow users to interact with the platform in various languages, including English, Hindi, Gujarati, and others, improving accessibility for a diverse audience.
• Live E-Waste Tracking: Enabled live tracking of e-waste collection, providing users with real-time updates about their orders.
• Seller Recommendations: Introduced an algorithm that recommends the best prices for sellers based on ongoing market trends and buyer offers.

Newly Added Features:

1. Raise Ticket for Issues:
   Users can now raise a ticket if they encounter any issues with the website, such as problems with transaction processing, account issues, or technical glitches. The ticketing system allows users to:

   • Generate a ticket detailing their issue (with priority levels: Low, Medium, High).
   • Attach screenshots or documents for further clarification.
   • Track the status of their ticket (Open, In-Progress, Resolved).
   • Admins and support staff can view, respond to, and resolve tickets efficiently.

   Implementation:

   • Users can fill in a simple form describing their issue, selecting the issue type (e.g., technical, transaction, account), and attaching relevant files.
   • The backend uses Node.js and MongoDB to store and manage tickets.
   • Admins receive real-time notifications when a new ticket is generated and can respond with resolutions or requests for more details.

2. E-Waste Chatbot for Query Resolution:
   A chatbot feature has been integrated to assist users with e-waste-related queries, such as:

   • How to recycle specific electronic items.
   • Understanding the pricing trends in the e-waste market.
   • How to sell e-waste or find the best buyers.
   • Guidelines for proper e-waste disposal.

   The E-Waste Chatbot:

   • Uses natural language processing (NLP) to understand and respond to user queries in real-time.
   • Offers suggestions, answers frequently asked questions, and provides step-by-step guides for common tasks.
   • Can escalate to a live support agent if the query is complex or requires human intervention.

   Implementation:

   • The chatbot is built using Dialogflow and Node.js, integrating with the front-end via a simple chat interface.
   • It provides users with a smooth conversational experience, and its backend is capable of learning from interactions to improve its responses over time.

Key Technologies:
React, Node.js, Express, MongoDB, TailwindCSS, Docker, AWS, jQuery, Redis, Firebase Authentication, Dialogflow, NLP, Ticketing System

Future Plans:

• Enhanced AI: Plan to enhance the chatbot with more advanced AI capabilities to answer a wider variety of user questions.
• Mobile App Integration: Extend the platform with a mobile app for easier access to e-waste trading, ticket management, and chatbot interaction.
• Gamification: Introduce reward points for users who actively participate in e-waste trade or recycling, which can be redeemed for discounts or services.

• LeetCode: Achieved a highest rating of 1833 (4 stars) with a global rank of 2063.
• Code Debugging: Finalist in a competition with over 10,000 participants.
• SSIP Certificate: Recognized by Parul University for exceptional project ideas for a startup.

• Email: [email protected]
• LinkedIn: linkedin.com/in/harsh2810
• GitHub: github.com/harsh6754