I am a Final Year Computer Science and Engineering student at United Institute of Technology, Prayagraj, with an interest in software development, technology, product design, artificial intelligence, and problem-solving.
I enjoy building practical solutions that combine functionality, usability, and technology. My work spans across software development, full-stack applications, machine learning, computer vision, UI/UX design, and technical problem-solving.
I like learning through hands-on projects, experimenting with different technologies, and turning ideas into working solutions.
- Software & Full Stack Development
- AI / Machine Learning
- UI/UX & Product Design
- Data & Technology
- Problem Solving & DSA
- Exploring Modern Technologies
- Software Development Opportunities
- Full Stack / Frontend Roles
- AI / Machine Learning Opportunities
- UI/UX / Product Design Opportunities
- Engineering Internships
- Open Source Collaboration
| Area | Skills |
|---|---|
| UI/UX | UI Design, UX Design, Wireframing, Prototyping |
| Product Design | User Flows, Layout Design, Design Systems |
| Visual Design | Typography, Visual Hierarchy, Grid Systems |
| Design Tools | Figma, Canva, Photoshop |
| Implementation | React.js, HTML/CSS, Tailwind CSS |
| Domain | Experience | Tools |
|---|---|---|
| Data Analysis | Intermediate | Pandas, NumPy |
| Machine Learning | Intermediate | Scikit-Learn, XGBoost |
| Computer Vision | Intermediate | OpenCV, MediaPipe |
| NLP | Beginner | TF-IDF, Scikit-Learn |
| Generative AI | Beginner | Google Gemini API |
| Model Deployment | Intermediate | Flask, Streamlit |
📚 LearNova – Online Learning Platform
A full-stack MERN e-learning platform supporting course discovery, enrollment, and instructor content management.
| Category | Details |
|---|---|
| Stack | MongoDB, Express.js, React.js, Node.js |
| Type | Full Stack Web App |
| Features | Course Discovery, Enrollment, Instructor Dashboard, Role-Based Access |
- Built RESTful APIs for user and course management.
- Implemented role-based workflows for students and instructors.
- Designed a responsive React.js frontend connected to a Node.js/Express.js backend.
🔗 Repository & Live Demo — see GitHub and Portfolio links above
📖 Library Management System
A web application for managing book inventory, borrowing, returns, donations, and issued-book tracking.
| Category | Details |
|---|---|
| Stack | Flask, SQLite, Bootstrap 5 |
| Type | Full Stack Web App |
| Features | Inventory Management, Borrow/Return Tracking, Session Handling |
- Implemented database operations and server-side routing with Flask and SQLite.
- Added session handling for user-specific actions.
- Built a responsive interface using Bootstrap 5.
🔗 Repository & Live Demo — see GitHub and Portfolio links above
🖐 AI Gesture Volume Control
A real-time computer vision application that detects hand gestures through a webcam and controls Windows system volume.
| Category | Details |
|---|---|
| Stack | Python, OpenCV, MediaPipe, Pycaw, NumPy |
| Type | Computer Vision |
| Features | Hand Tracking, Finger Detection, Real-time Volume Control |
| Platform | Windows |
- Detects hand landmarks using MediaPipe.
- Calculates finger distance to adjust system volume.
- Uses smoothing to reduce abrupt volume changes.
- Runs completely in real time using webcam input.
📰 Fake News Detector
A machine learning application that classifies news articles as Real or Fake using Natural Language Processing techniques.
| Category | Details |
|---|---|
| Stack | Python, Scikit-Learn, TF-IDF, Streamlit |
| Type | NLP |
| Features | Text Classification, Data Preprocessing, Web Interface |
- Cleaned and preprocessed textual datasets.
- Extracted features using TF-IDF Vectorizer.
- Trained a Scikit-Learn classification model.
- Built an interactive Streamlit application for prediction.
🌫 Air Quality Index Predictor
A full-stack web application that predicts Air Quality Index using machine learning and environmental datasets.
| Category | Details |
|---|---|
| Stack | Python, Flask, XGBoost, React, REST API |
| Type | Machine Learning |
| Features | AQI Prediction, Flask API, React Dashboard |
- Processed environmental datasets using Pandas and NumPy.
- Trained an XGBoost regression model.
- Developed REST APIs using Flask.
- Connected the backend with a React frontend.
🎨 64 MAG – Premium Packaging Concept
A premium editorial packaging concept developed using typography, grid-based layouts, visual hierarchy, negative space, and a contemporary visual system.
| Category | Details |
|---|---|
| Tools | Figma, Canva |
| Type | Product / Visual Design |
| Focus | Typography, Layout, Visual Identity |
- Explored multiple layout directions.
- Developed a minimal contemporary visual system.
- Focused on typography, hierarchy, and consistency.
🚧 Hyperlocal Festive-Aware Demand AI
Work In Progress
Developing an AI-powered demand forecasting system to estimate product demand during festive seasons using historical trends and contextual retail data.
- Python
- Pandas
- NumPy
- Scikit-Learn
- Flask
- React
To explore how technology and data can help small retailers make better inventory decisions during high-demand festive periods.
June 2026 – July 2026
Applied machine learning workflows including data preprocessing, text vectorization, model training, and evaluation using Python and Scikit-learn. Developed a Fake News Detection solution using NLP and TF-IDF-based classification.
Skills: Python • Scikit-learn • NLP • TF-IDF • Model Evaluation
June 2025 – July 2025
Worked on backend and web application development while collaborating with the development team. Developed an AI-powered Code Reviewer using the MERN stack and Google Gemini API.
- Developed backend APIs to support web application features.
- Built React.js interfaces and Node.js/Express.js REST APIs with MongoDB.
- Integrated Google Gemini API for AI-powered code review workflows.
- Used Git for version control and collaboration.
- Assisted in debugging and improving application functionality.
Skills: React.js • Node.js/Express.js • MongoDB • REST APIs • Git • Google Gemini API
June 2023 – July 2023
Completed institutional training focused on Python programming fundamentals and problem-solving.
- Core Python Programming
- Data Structures
- Object-Oriented Programming
- Problem Solving
- Programming Fundamentals
July 2026
Completed hands-on full stack development training covering frontend, backend, and deployment workflows.
| Achievement | Details |
|---|---|
| 🧩 Competitive Programming | Solved 200+ Data Structures & Algorithms problems across LeetCode and CodeChef. |
| 🏅 LeetCode | Achieved a 1625 rating. |
| ⭐ CodeChef | Earned a 2★ rating with a peak rating of 1542. |
| 🏆 Coding Competition | Winner of E-BOX Top Coders 2025–26. |
| 🎬 Smart India Hackathon | Shortlisted for the college presentation round. |
IEEE Member — United Institute of Technology, Prayagraj
Contributed to technical events including ENIGMA XII and ENIGMA XIII.
Learning:
- Advanced Data Structures & Algorithms
- Software Development
- Full Stack Development
- System Design Fundamentals
- UI/UX & Product Design
Building:
- Practical technology projects
- Hyperlocal Festive-Aware Demand AI
Exploring:
- Artificial Intelligence
- Machine Learning
- Computer Vision
- Product Design
- Modern Web Technologies
- Generative AI
- Open Source
Improving:
- Problem Solving
- Development
- Design Thinking
- Engineering Fundamentals
Open To:
- Software Development
- Full Stack Development
- AI / ML
- UI/UX / Product Design
- Technology Internships
- Open Source Collaboration