Abhay Kanojia
B.Tech in CSE | Passionate about Web Development, AI-ML & competitive programming
Aspiring
Software Development Engineer
About Me
A Computer Science undergraduate from Graphic Era Hill University, Dehradun. Passionate about technology and innovation, I specialize in C, C++, Python, and Java, with hands-on experience in Machine Learning, Deep Learning, Data Analysis, and Web Development. I actively practice competitive programming, hold a global rank across various leading competitive programming platforms, and enjoy building projects that solve real-world problems through data-driven and scalable solutions.
Skills
More About Me
Beyond academics, I continuously expand my technical expertise by exploring emerging fields such as Artificial Intelligence, Machine Learning, and Full-Stack Development. I enjoy solving complex algorithmic challenges on competitive programming platforms, which sharpen my problem-solving mindset and efficiency in coding. I’m also passionate about building scalable applications and experimenting with real-world projects that integrate data-driven insights with modern web technologies, ensuring a balance of innovation, performance, and usability.
Work Experience
- Participating in the development of innovative coding projects and organizing technical workshops for peers.
- Contributing to project planning, debugging sessions, and peer mentoring within the club.
- Collaborating with fellow developers to explore emerging technologies and solve real-world challenges through code.
Education
Projects
A collection of innovative projects that reflect my passion for software development, AI/ML, and problem-solving. Each crafted to address real-world challenges with scalable and impactful solutions.
Placement Sarthi — Campus Placement Management Portal
Placement Sarthi is a centralized Spring Boot portal automating campus placement workflows. implemented with role based interfaces of Students, Placement cell admins and Recruiter. Students manage profiles & applications, companies Recruiter post jobs & shortlist candidates, and admins coordinate events with analytics. Features real-time communication, bulk Excel operations, and MySQL database. Eliminates manual Forms/email dependency and time spent on coordination.
OptiFly — Air Route Optimization System
OptiFly is an AI-driven route optimization portal that recommends the most efficient flight path between any two cities based on user preferences like cost, travel time, or a combined priority. Using a weighted airport graph and Dijkstra's algorithm, it computes the optimal route in real time. The platform offers an intuitive web interface showing airport codes, flight IDs, and total cost/time breakdown. A MySQL database manages airport and flight records seamlessly. This project demonstrates real-world algorithmic optimization integrated with full-stack web development.
Swachh Shala — AI-Powered School Hygiene Platform
Swachh Shala is a full-stack AI-powered sanitation audit and complaint management system for government schools. It uses a CNN-based image classifier to detect cleanliness issues from uploaded images and provides probability-based assessments. The platform includes Admin and School Dashboards for real-time complaint management, registration approvals, PDF hygiene reports, and live status tracking. Developed during HackOrbit 2025, it leverages AI and a clean UX to improve school infrastructure transparency and hygiene management.
Brain Tumor MRI Analysis System
An AI-driven solution for classifying brain MRI scans into Glioma, Meningioma, Pituitary, or No Tumor using a CNN trained on 5000+ annotated images. Advanced preprocessing—denoising, sharpening, and contrast normalization—boosts diagnostic accuracy. A clean frontend allows image upload and instant classification, supporting rapid radiology screening. Finalist at Neural Nexus 2025, ranking among the top 5 national teams in AI healthcare diagnostics.
Credit Card Fraud Detection
An classification system aimed at identifying fraudulent credit card transactions from real financial data. The model was trained on a dataset containing 284,808 records and 31 attributes, sourced from Kaggle. Among various machine learning algorithms tested, the Decision Tree classifier delivered the best performance with 95.2% accuracy, 92% precision, and 89% recall, effectively minimizing false positives and identifying suspicious activities in real-time.
Mail Spam Classification
An ML & NLP pipeline to classify SMS messages as Spam or Ham using text preprocessing, Bag-of-Words (BOW), TF-IDF, and ML models including Naive Bayes and Decision Trees. The system performs text cleaning, tokenization, stopword removal, and stemming to improve feature quality. Features are extracted using BOW and TF-IDF. Naive Bayes with TF-IDF achieved ~95% accuracy, outperforming Decision Trees, and provides a robust, interpretable solution for SMS spam detection.
Certifications and Badges
AWS Certified Cloud Practioner
Issued by Amazon Web Services Training and Certification
Earners of this badge have demonstrated basic solution building knowledge using AWS services and have a fundamental understanding of AWS Cloud concepts. Badge earners have acquired hands-on experience with compute, networking, database and security services.
Leetcode Consistency
Successfully completed solving daily DSA problems on LeetCode for 365+ consecutive days, earning the Annual 2025 Badge. This milestone not only reflects consistency and discipline but also strengthened my problem-solving skills, optimized thinking, and perseverance in tackling diverse algorithmic challenges. It's a rewarding step forward in my continuous journey of learning and growth.
Data Structures and Python Programming
I'm delighted to share that I have successfully completed Data Structures and Python Programming, where I gained in-depth knowledge of arrays, linked lists, stacks, queues, trees, graphs, and dynamic programming. This achievement not only strengthened my problem-solving skills but also enhanced my ability to implement efficient algorithms in Python and apply them to real-world scenarios.
Graph Programming, Algo University
Successfully completed Graph Programming at Algo University, where I deepened my understanding of graphs, trees, and advanced algorithms. Through hands-on practice, I strengthened my problem-solving skills in areas like traversal, shortest paths, and dynamic programming, enabling me to tackle complex algorithmic challenges efficiently.
Competitions & Highlights
Showcasing my journey of building impactful and scalable tech solutions.
Nation Building Case Study Competition — 2025
I had the privilege of participating with my colleague Deepali Chauhan in the Nation Building case study competition, where our team was selected among the top 600 out of 57,000 entries. Our task was to develop a strategic plan for India to achieve 100 medals, including 35 gold, at the 2036 Olympics. We designed a comprehensive approach, highlighting innovative ideas such as an artificial trainer to monitor athlete progress and optimize training. Advancing to the zonal finals, we presented our solutions via a video submission. This experience enhanced my skills in strategic planning, teamwork, and problem-solving under pressure, providing invaluable learning and professional growth.
Neural Nexus — AI Model Challenge — 2025
Our team has participated in NEURAL NEXUS, powered by Amazon Web Services and organized as part of GRAFEST 2025 at Graphic Era Deemed to be University, with my team TECH TITANS. We advanced through multiple rounds, culminating in a national-level challenge of classifying diseases from noisy MRI brain images. We applied advanced preprocessing techniques using Python libraries, developed a custom deep learning model from scratch using Keras and TensorFlow, and achieved an accuracy of 89%. Additionally, we deployed the model through a clean, interactive web application built with Flask, HTML, CSS, and JavaScript. Although we narrowly missed the top three, the experience strengthened our skills in problem-solving, teamwork, and technical innovation.
Amazon HackOn — 2025
Delighted to share that our team Tech Resolutions from Graphic Era University successfully cleared the coding round of Amazon HackOn 2025 and advanced to the PPT submission stage. Our project focuses on enhancing customer experience and promoting sustainability through AI-driven recommendations and delivery optimization. Key features include eco-product suggestions with eco-scores and rewards, an image-based scanner recommending greener alternatives, a return-the-box system to reduce packaging waste, and apartment-based group deliveries to minimize last-mile emissions. This dual-solution framework balances customer convenience with environmental impact, aligning with Amazon's Climate Pledge 2040, and demonstrates how AI can make e-commerce smarter and sustainable.
HackOrbit — 2025
Excited to share that my team has participated in HackOrbit 2025, a national-level hackathon powered by Unstop and sponsored by GeeksforGeeks. Out of over 2,500 registrations, our AI-driven civic-tech solution, Swachh Shala, an AI-based hygiene inspection and complaint management platform for government schools, was selected among the top 400 teams and became one of the top 30 finalists in our domain, ranking within the top 100 overall. The platform features school registration and admin approval workflows, image-based maintenance requests, CNN-powered sanitation issue detection, automated complaint forwarding, dynamic PDF hygiene reports, and real-time tracking of complaint statuses.
Adobe India Hackathon — 2025
Thrilled to share our journey at the Adobe India Hackathon 2025 as Team Tech-Titans, where we built a fully offline, containerized PDF Outline Extractor to intelligently extract titles and hierarchical outlines (H1–H3) within a sub-200MB Docker image and under 10-second runtime, with offline OCR fallback for scanned or multilingual documents. We also developed a persona-aware document intelligence system that ranks relevant sections, generates actionable summaries, runs on CPU-only, and leverages SentenceTransformers for semantic similarity. This experience pushed us to engineer smart, practical solutions under strict constraints, focusing on accuracy, speed, and scalability, and we are grateful to Adobe India for the opportunity.
MariTHON — 2025
Pleased to share that our team CODE CATALYST reached the finals of MariTHON 2025, organized by TBI–GEU and powered by Integrated Maritime Exchange (IME). We tackled the challenge of automating laytime event extraction from unstructured Statements of Facts (SOF) with precision and scale, contributing to the development of a Laytime Intelligence Platform featuring AI-driven document processing, confidence-based validation for reliable outputs, and end-to-end web integration for real-time event extraction. Working alongside my teammates Deepali Chauhan, Abhishek, and Sidh Khurana, we built a solution the jury recognized as highly relevant to the maritime industry. While we did not secure a podium finish, the experience provided invaluable learning in teamwork, resilience, and innovation.
Get in touch
Send a quick message or mail at abhaykanojia51@gmail.com