Projects in DewasProjects in DewasBelle France is an immersive France travel platform that makes discovering and booking a trip feel personal. The core experience lets travelers explore destinations, discover local experiences, and most importantly, find and book a personal human guide based on their interests, destination, availability, and preferred experience.
For the business, this creates a direct path from discovery to a paid guide booking, while making it easier to showcase guides, manage their availability, handle bookings, and connect travelers with the right local expert. Kunj — A Heritage Hotel Website Concept
An exploration of luxury, Indian hospitality, and editorial web design.
Kunj is a heritage-inspired hotel website concept built around a simple idea: a place should feel memorable long before you arrive.
The design brings together the warmth of Indian hospitality, architectural character, and the understated elegance of luxury editorial websites. Rather than relying on conventional hotel layouts, the experience focuses on immersive imagery, considered typography, generous whitespace, and a calm, deliberate visual rhythm.
The language is primarily English, with subtle cultural touches that give the brand a distinctly Indian identity without compromising its international appeal.
The direction
Editorial layouts inspired by high-end hospitality and fashion websites
A restrained, warm visual palette with heritage-inspired details
Thoughtful presentation of rooms, spaces, dining, and celebrations
Minimal navigation and carefully composed sections
A balance between Indian character and contemporary luxury
The goal
To create a digital experience that feels as considered as the property itself — inviting guests to discover Kunj, imagine their stay, and picture the occasions they could celebrate there.
An independent design concept exploring the intersection of Indian hospitality and contemporary luxury. 📌 Project Title
Used Car Price Valuation AI — Machine Learning Resale Estimator
đź’ˇ Overview
The secondhand automotive market faces significant price opacity, making accurate valuation challenging for individual sellers, buyers, and dealership networks.
To solve this problem, I built an end-to-end Machine Learning web application that automates vehicle market price discovery. The application ingests 11 core vehicle specifications — including brand model variant, city location, registration year, driven distance, fuel type, transmission type, owner history, fuel efficiency, engine displacement (CC), and horsepower (BHP) — to deliver instant, reliable market price predictions in Lakhs INR alongside an estimated fair-market value range.
⚡ Key Features & Deliverables
High-Accuracy ML Regression Engine: Powered by Scikit-Learn HistGradientBoostingRegressor trained on thousands of vehicle transactions with custom label encodings for 200+ car models across 11 metropolitan markets.
Real-Time Interactive Valuation Dashboard: Built with Streamlit featuring live input sliders, numerical controls, and instant price calculations.
Interactive Resale Value Range & Gauge Visualization: Integrated dynamic Plotly gauge charts providing a visual market valuation indicator and a condition-based fair market range (+/- 8% variance band).
Figma-Grade Human Design Theme: Designed a custom CSS UI system (Obsidian Slate & Indigo Emerald theme: #0B0F19 background, #6366F1 indigo accents) with Plus Jakarta Sans typography and translucent glassmorphic cards.
🛠️ Tech Stack
Python 3.14 • Scikit-Learn • Streamlit • Plotly • Pandas • NumPy • Joblib • CSS3 Glassmorphism