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About me
I am Shaik Aman, a final-year Computer Science Engineering student specializing in Data Science at RL Jalappa
Institute of Technology.
I have a deep passion for web development and modern technologies, particularly the MERN stack (MongoDB,
Express.js, React.js, Node.js).
From building static websites with HTML and CSS to developing dynamic applications using JavaScript and React,
I have consistently expanded my skills through real-world projects and hands-on learning.
My interests extend to crafting user-centric interfaces with creative animations, ensuring my work is both
functional and visually appealing.
I actively take on coding challenges to strengthen my logical thinking, and I’m currently diving deeper into Data
Structures and Algorithms using C++ to enhance my problem-solving skills.
This website is a reflection of my journey — blending design, development, and a drive to innovate. I'm always
exploring new technologies and opportunities that push my abilities to the next level.
Education
Skills
HTML, CSS, JavaScript, React.js, GSAP, Responsive Design
Node.js, Express.js, MongoDB, RESTful APIs
PowerBI, Tableau, Excel, Python (Pandas, NumPy)
Teamwork, Adaptability, Communication, Problem Solving
Projects
🔹 College Campus Chatbot
Designing a Chatbot to provide students, faculty, and visitors with instant access to
essential campus-related information.
Whether it's details about academic programs, faculty contacts,event schedules, admission procedures, or
campus facilities, this AI-powered assistant streamlinesnavigation and enhances accessibility.
Key Features:
- Course & Department Details: Instant access to academic offerings and faculty information.
- Event & Announcement Updates: Stay informed about college activities, deadlines, and special
events.
- Campus Map & Navigation Assistance: Helps users locate departments, libraries, and key
facilities
- Admission & Fees Guide: Provides insights into admission requirements, scholarships, and fee
structure
- Student Support Resources: Connects students with counseling, placement opportunities, and
extra-curricular activities.
Tech Stack:
- Frontend: React.js & Tailwind CSS (for an intuitive UI)
- Backend: Node.js & Express.js handling chatbot respons
- Database: MongoDB (to store FAQs and user queries)
- AI Integration: NLP models or Dialogflow for improved
🔹Health Care Advice chatbot
Developed a web-based healthcare chatbot offering interactive symptom checks medication
guidance, and lifestyle tips
Implemented dynamic UI elements with GSAP animations for a smooth and engaging user experience.
Engineered robust chatbot logic in JavaScript to handle user queries, simulate turn-based dialogue, and
display contextual advice .
Key Features:
-Interactive Symptom Checker: Provides users with preliminary advice based on reported symptoms.
-Medication Guidance: Offers contextual suggestions or information related to common treatments.
-Lifestyle Tips: Shares wellness insights and preventive care recommendations.
Tech Stack:
- Frontend: HTML, CSS, JavaScript – for building the user interface and managing
interactivity.
- Animation: GSAP – to enhance the user experience with sleek transitions.
- Backend: Python with FastAPI – for managing chatbot responses and data flow.
- Chatbot Logic: JavaScript – to simulate conversation and handle user queries.
🔹Tic-Tac-Toe Game
A fun and interactive Tic-Tac-Toe game built with JavaScript, HTML, and CSS, offering
a seamless user experience with creative animations and dynamic effects.
This project showcases
not only classic game logic but also visually appealing transitions, making gameplay more engaging.
Key Features:
- Player vs Player Mode: Allows two users to play on the same device.
- Winning Logic & Draw Detection: Ensures accurate game outcomes.
- Dynamic Animations: Includes flickering text, glowing effects, and interactive transitions for an
enhanced UI.
Tech Stack:
- Frontend: HTML, CSS (with GSAP for animations)
- Logic & Interactivity: JavaScript (handling game rules, win conditions, and UI updates)
Contact Me