Hi,
I'am Aishika Das
Contact
About
I'am Aishika
a fourth-year Computer Science and Technology student at IIEST Shibpur. I specialize in programming and web development, with a particular interest in blockchain technology ,Machine Learning and Artificial Intelligence.
Skills
Education and Professional Skills
I have passed my 10th standard from Carmel High School(grade-91%)and passed 12th standard from Delhi Public School,Ruby Park(grade-95%). And I am currently studing Btech(4th Year) in Computer Science and Technology in Indian Institute and Engineering Science and Technology.
HTML5
70%
CSS3
65%
JAVASCRIPT
60%
C++
95%
C#
60%
C
95%
Python
60%
Java
60%
Work Experience
Software Engineering Internship
TMRW House of Brands(Bewakoof.com)
- - Developed Sitemap Page by creating a dynamic page displaying all site sections and links of the system of Bewakoof 2.0, enhancing navigation clarity.
- - Redesigned hamburger navigation by updating intuitive navigation with dropdown menus and nested items, improved wallet display by modifying wallet to show total balance if credits exceed zero, enhancing user profile clarity.
- - •Revamped the Why Tribe Section by fixing errors and updated content based on requirements for clearer presentation and added tribe auto renewal section using tribe data for seamless membership management which automates the tribe membership.
- - Created Download Apps Page of Bewakoof 2.0 of similar to Bewakoof.com for mobile applications and implemented email Subscription system by adding an email subscription feature in footer for userfriendly engagement and feedback.
- -Designed FanBook Testimonial Page by creating a structured page with styled components and data logic for showcasing testimonials effectively.
- Fixed navigation bugs and issues in side navbar and home page navigation for a smoother user experience, enhanced the desktop header page for better functionality; optimized tab navigation for both mobile and web versions of the home page; refined footer UI in the home page footer
Tech Stack:
- React JS, Next JS, Styled Components;Other styling options are CSS,Tailwind CSS
Frontend Developer
Automaite.ai
- - Implemented a dropdown list for selecting phone number codes and entering phone numbers using the react-phone-number-input library and enhanced the UI of the user details and OTP verification pages, utilizing Firebase for verification
- - Created editable email templates for QuirkMail and developed the Mind-Prep website
- - Added AI marketing and content writing services and AI-implemented services to the home page of Automaite.ai and Quirkfy page
- - Incorporated an animated logo section using the image slider react library for the customer section
- - Developed a Wapp interface for the Wapp marketing tool, allowing users to input and preview formats for WhatsApp messaging
Tech Stack:
- JavaScript, React JS, Python, Tailwind CSS, Firebase
TCP-IP-Login-Project(Made during Full Stack Developer Internship under Prof. Nirnay Ghosh, IIEST Shibpur)
I created a User Interface for an IoT System that depicts:
- The Perception, or the IoT Device Layer - the client layer that collects data
- The Network, or the IoT Gateway Layer - the server-side operators who connect devices to smart objects, servers, and network devices
- The Application, or the Platform Layer - the final application that connects the operator and the client
Tech Stack:
- C#,WinForms,.NET Framework
Projects and Work
LearnHUB(Made this in Quine hackathon and got rank of 21)
LearnHub is a comprehensiveeducational multi-modelchatbot designed to enhancethelearning experiencethrough various functionalities.
- Various bots or features available: Q&A Assistance: Streamlit, Python, Hugging Face models for prompt answers
- Grammar Correction Bot: CKEditor, Grammarly SDK for real-time suggestions
- PDF to Text Summarizer: Streamlit, Python, txtai library, PyPDF2 for PDF summarization.
- Notes to PDF Generation: Web-based tool for converting notes to PDF.
- Language Translator: Web page for language change and translations.
- . Explain Code Feature: Streamlit, Python, Hugging Face models for code understanding.
- . JavaScript to Python Conversion: Supports language transition for learners.
- Weather Forecasting Web Page: OpenWeatherAPI for weather forecasts.
- Reminder Email Creation: emailjs library for scheduling reminder emails
- Light and Dark Mode Toggling: Dynamic visual theme toggling for user comfort.
Tech Stack:
- -Streamlit,Python, CKEditor Classic Editor,Machine learning, Grammarly SDK, Python, Javascript, React JS Libraries/Frameworks/APIs:-Hugging Face models, txtai,PyPDF2,Translation, APIs,OpenWeatherAPI,emailjs lib
Resturant Review
It is a Solana program for managing reviews where userscan add and updatereviews, and thestate of thereviewsis stored on-chain. The program iscomplemented by a React frontend forinteracting with the Solana blockchain
- Smart Contract:-Instructions:AddReview and UpdateReview: Adds a new review and update an existing review to the state.
- State:-AccountState struct represents the state which includes:rating: Rating; description;title
- Error Handling:- ReviewError enum defines custom errors which includes:- UninitializedAccount: Raised when interacting with an uninitialized account; InvalidPDA: Raised when the derived PDA doesn't match the expected PDA;InvalidRating:created rating range.
- React Frontend: Provides a user interface for interacting with the Solana smart contract where components created AppBar, ReviewCard,ReviewForm.
- Functionality:- Users submit new reviews using ReviewForm;Reviews displayed using ReviewCard component;Program ID for Solana smart contract specified as REVIEW_PROGRAM_ID;Transactions submitted to Solana using @solana/web3.js library;Basic error handling implemented for transactions.
Tech-stack
- Solana,React,Solana SDK,React Router,Solana Wallet
Flutter-App-COWIN
It fetches the near by hospital for urgent treatment of paitents and provide notifications and alert system regarding information of a particular subscribed hospital
- Implemented otp based registration app
- Added feature using open-api to find the nearest hospital nearby for the emergency
- Modified the notifications and alert system using mail implementation
Tech-stack
- Dart,Flutter,Python.
AI Image Generator
Created react website generating images like avtar.
- - Developed a PyTorch training model
- - Integrated the model with Hugging Face datasets
- - Uploaded images to test the model's performance
- - Connected the model to the Hugging Face API
- - Designed a React website
- - Implemented a prompt box on the website to generate desired images.
Tech-stack
- Machine Learning,ReactJS