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Projects developed

ThoughtRoom

Kickstarter

Project Description

An AI tool for investors to assess startups. The investors and VCs can validate whether their investment in a particular company would turn out to be successful or not based on fundamentals and financial data.

Key features

  • Implementation of Random Forest Algorithm, with an accuracy of 85.9% in the results provided. Model pickled and implemented as REST endpoint.
  • A graphical comparison of the current company’s stats with the companies that proved to be a good investment, covering important parameters.
  • A final verdict provided to the end user with an appropriate reasoning.

Tech stack

  • Languages/Frameworks: Python, scikit-learn, TensorFlow,uvicorn,Sveltekit, MongoDB, Mongoose, Tailwind CSS, Railway, FastAPI

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ThoughtRoom

ThoughtRoom

Project Description

A blogging web app powered by REST architecture and a platform to study, comprehend, like and share thoughts and ideas. Designed with an elegant UI/UX and a seamless platform to blog about a multitude of topics.

Key features

  • An interface to create content and share ideas ,submission creates a POST request to the backend.
  • Feature to like a thought which on click updates the number of likes via a PATCH request.
  • Global state management via Redux and token based authentication and authorization via JWT

Tech stack

  • Languages/Frameworks: ReactJS,ExpressJS,NodeJS,MongoDB,Mongoose,Redux+Redux Toolkit for State Management
  • Implementation: JWT token based authentication and authorization along with refresh tokens,database password hashing using bCrypt,CORS,cross-environment development,protected routes and deployment via Railway.

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AntiCorruption Ledger logo

AntiCorruption Ledger [Blockchain and Web3]

Project Description

An end-to-end, foolproof ledger that can track all the incoming and outgoing transactions pertaining to a cause.

Key features

  • This blockchain-based web app allows users to track where their money is being spent which is often a question mark whenever a user makes a donation to an NGO or a cause.
  • The primary use case is to achieve 100% transparency and eliminate corruption completely in donations and legal tenders.

Tech stack

  • Languages/ Frameworks: ReactJS,NodeJS,Solidity,CSS,Express
  • Other Tools: Axios Library,Truffle Suite,Ganache[Local Blockchain],Ethers js library,Metamask ,Remix IDE,Json- Server

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bitcoin

DeCrypt

Project Description

A customized collection of your wishlist cryptocurrencies.

Key features

  • This web app allows real-time and live cryptocurrency tracking in INR.
  • The user can select his or her coins of interest and keep track of them without having to search in a stack of coins every time.

Tech stack

  • Languages/ Frameworks: HTML5, CSS3,Bootstrap, JavaScript, EJS,Express
  • Other Tools: Binance Websockets, NPM packages,ROBO 3T
  • Database: MongoDB (NoSQL)

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mill2door logo

Mill2Door

Project Description

Designed, developed, and managed the frontend and the backend of an e-commerce site using WordPress and Woocommerce. Integrated payment gateway via Razorpay API and embedded Facebook Pixel and Google Analytics to track user interactions and behavior to arrive at essential inferences.

Key features

  • Integrated payments feature via Razorpay API to support credit,debit cards,UPI and payment wallets.
  • Ranked close to 5 products on the first page of Google's Search Engine Result Page in 3 months via Search Engine Optimization , alongside huge E-commerce giants such as Amazon, Flipkart, and BigBasket.
  • Designed, Curated, and Automated Facebook and Instagram Ads to increase the ROI by 9 times via Facebook Pixel and conversion campaigns.

Tech stack

  • Wordpress,Elementor and Woocommerce for frontend and backend
  • Keywords anywhere and Ubersuggest for SEO
  • Facebook Pixel to track user behavior and Google Analytics to view and draw critical insights about target metrics.

a robot automating tasks

Stock recommendation system

Project Description

A recommendation system based on Robotic Process Automation to suggest an ideal stock among NIFTY 50 for the investor to buy/sell at a given instant of time.

Key features

  • A recommendation system based on Robotic Process Automation to suggest an ideal stock among NIFTY 50 for the investor to buy/sell at a given instant of time.
  • Generates report for the top 50 NIFTY stocks along with comprehensive overview of all the metrics.
  • Suggestion of top 5 stocks to buy and top 5 stocks to sell at any given instant with a single click .

Tech stack

  • Automation anywhere community edition
  • Automation anywhere enterprise edition
  • Bot Lab

network of computers

Wired Campus Network

Project Description

Designed and developed a suitable network system for universities in developing countries. The aim was to create a network with high security and low cost. This project was developed to accelerate the growth of education in developing countries.

Key features

  • Representation of the topology of the network to be implemented and configured.
  • Implementation of VLANs,MAC address filtering and keeping the network up to date.
  • Usage of protocols such as RIP v2.0 ,STP and multi layer switching and routing

Tech stack

Cisco Packet Tracer

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