Featured Projects (13)

• Resource Management Portal

  HR management platform currently in R&D, designed to centralize employee administration for organizations. Enables employees to submit and track leave applications, while maintaining secure records of account details, bank information, and other essential HR data. Aims to streamline HR workflows by consolidating employee data management, leave tracking, and administrative processes into a single, unified system.

  Technologies:

• WorkSphere-DevPlanner

  A centralized, AI-powered productivity hub built for developers to eliminate context switching between task trackers, calendars, notes, and bookmarks. Features automatic daily task migration that carries forward incomplete tasks while preserving historical records, alongside a Calendar Planner, Link Manager, and Markdown Notes Workspace with live preview and README export. Built on a React/TypeScript frontend with a Python/FastAPI backend and MongoDB, delivering a unified, mobile-responsive workspace for managing daily workflows, documentation, and resources.

  Technologies: JavaScript, React, Next.js, Python, MongoDB

• UNLEASH LLM Innovation Challenge

  Built the official platform for the Unleash LLM Innovation Challenge, a national hackathon under the YuvAI Initiative, organized with Meta in collaboration with IndiaAI, AICTE, and implemented by 1M1B. The portal manages the complete hackathon lifecycle across 7 themed categories, guiding participants through a structured two-phase journey: team registration with unique Team ID generation, idea submission via one-page PDF reports, and prototype submission through walkthrough videos and GitHub repository links for shortlisted teams.

  Technologies: React, Python, FastAPI, JavaScript, MongoDB

• The Purpose Academy

  A dual-portal platform combining a Student Learning Portal for accessing weekly curriculums, video lectures, and resources with an Admin Dashboard for complete program operations. Features role-based access control across Cohorts, Applications, Courses, Mentors, and Students, along with an automated PDF engine generating enrollment letters, LORs, and certificates. Integrated Razorpay for secure tuition payments and automated enrollment status updates, backed by a Redis/BullMQ queue system for asynchronous emails and logging. Includes a multi-step admission funnel enabling admins to review, approve, and auto-assign candidates to program cohorts.

  Technologies: MongoDB, Hostinger, Nest.js, JavaScript

• CWC - The Changemakers World Cup

  A large-scale web platform managing the complete lifecycle of student participation in innovation and social impact missions, supporting 8,000+ registered students and 100–200 daily active users. Built with three integrated portals Student, Admin, and Evaluator enabling mission submissions, document management, mentor-based evaluations, and grading through role-based access control. Features secure authentication, centralized student data management, and real-time evaluation tracking, delivering a scalable, transparent system for nationwide educational competitions.

  Technologies: JavaScript, Python, MongoDB, React, Next.js

• Career Jyoti - x - Job Mela

  An end-to-end platform combining AI-driven career counseling with real-time Job Mela management for students, recruiters, and administrators. The AI Career Assistant uses Generative AI, NLP, and RAG to deliver personalized guidance from a knowledge base of thousands of career paths, skills, and learning resources. Students register digitally while a dedicated mobile app enables coordinators to manage multi-round interviews, track progress, and shortlist candidates in real time. A Global Candidate Lock System prevents duplicate hiring by instantly notifying companies once a candidate is confirmed elsewhere, ensuring fair and transparent recruitment across thousands of concurrent interviews.

  Technologies: JavaScript, Dart, Python, MongoDB, LLM, Flutter, Android, iOS

• Agribridge

  An AI-powered digital ecosystem built to empower Indian farmers with real-time, localized agricultural guidance through a simple mobile interface. Features an intelligent chatbot (Krishi Sahayak) powered by Google Gemini AI, delivering factual answers on government schemes, mandi prices, and loans by grounding responses in a MongoDB database with automatic native-language support for Hindi, Kannada, and more. A location-based discovery dashboard shows farmers personalized subsidies, market prices, and loans relevant to their state and district. Built as a native Android app (Kotlin) with a FastAPI backend, JWT authentication, and production deployment on AWS EC2, delivering a 24/7 personalized agricultural advisor.

  Technologies: Python, Kotlin, Android, AWS, MongoDB

• Dgnagrik: Analysis Portal

  A comprehensive educational analytics platform built to centralize and visualize school data across Karnataka, supporting government officials in data-driven decision-making. Features a multi-level reporting system State, Block, and School Level with interactive dashboards, charts, and filterable table-based reports covering school performance and teacher information. Includes report export and download functionality, enabling administrators to monitor trends, compare regional statistics, and streamline educational planning and policy decisions.

  Technologies: JavaScript, Node.js, MongoDB, Express

• Marios Towing - Driver, Customer, and Admin Mobile Application

  Real-time towing dispatch platform with Customer, Driver, and Admin apps enabling request submission, driver assignment, live trip tracking, and end-to-end fleet operations. Led full-stack Mobile development, API integration, and deployment at WebCodeGenie Pvt. Ltd.

  Technologies: Kotlin, Android, Android + XML Structure , Firebase, SQLite

• Medi Bot

  An intelligent healthcare chatbot powered by NLP and Machine Learning, delivering ~85-90% intent recognition accuracy for natural, real-time conversational interactions with hospital staff. Handles 20+ query types from patient records and medical history to appointment scheduling eliminating manual lookup delays and enabling instant access to critical information. Transforms hospital communication workflows, boosting staff efficiency and enhancing the overall quality and speed of patient care delivery.

  Technologies: Python, AI Agents, AI, JavaScript, RAG

• Movie Review Sentiment Analysis Platform

  A machine learning application that classifies movie reviews into Positive, Negative, or Neutral sentiments using Natural Language Processing techniques. Trained on the IMDb Movie Reviews Dataset (65,000+ reviews), the project covers the complete ML pipeline data preprocessing, text cleaning, tokenization, feature extraction, model training, and evaluation. Built an interactive interface where users can input a review and receive real-time sentiment predictions, demonstrating practical application of NLP from dataset preparation to model deployment.

  Technologies: Python, FastAPI, Flask, MySQL

• ANPR and FR Solutions

  Built for KAVACH-23, the national cybersecurity hackathon organized by India's Ministry of Home Affairs and Ministry of Education, this project tackles a critical gap in India's traffic enforcement infrastructure. While the "One Nation, One Challan" initiative established a national challan framework, it identifies vehicles — not drivers — leaving accountability gaps for shared, borrowed, or stolen vehicles. Designed a system that links evidence to identity at scale, connecting license plate detection to driver identification and repeat-offense tracking, closing the loop between "who owns the vehicle" and "who was actually driving."

  Technologies: Python, Jupyter notebook, FastAPI, MySQL, Android, Kotlin, Android Studio, MongoDB

• Student Dropout Analysis

  An intelligent dashboard built for a state-level hackathon by the Government of Gujarat (2nd place winner) to help authorities analyze and predict student dropout trends. The system examines 17 dropout-contributing factors across 4 analytical categories, using official UDISE+ government education data to identify high-risk regions and underlying causes. Developed a Machine Learning-based prediction model trained on historical dropout patterns to forecast dropout rates for the next 5 years, enabling data-driven policy decisions through interactive dashboards and visual analytics.

  Technologies: Machine Learning Models, Python, MySQL