Hi, I'm

Agam Harpreet Singh

|

Welcome to my portfolio. Let's connect!
Agam Harpreet Singh

About Me

I'm a BTech student in AI & Data Science at IIT Jodhpur, passionate about building the future through technology. I love turning complex problems into elegant solutions.

Currently diving deep into Machine Learning Algorithms, Full-Stack Development, and Modern Web Technologies. I believe in learning by building and sharing knowledge with the community.

When I'm not coding, you'll find me exploring new tech trends, experimenting with side projects, or diving into research papers. In my free time I enjoy watching Formula 1 racing and love to do Gaming. Always excited about the next breakthrough in AI and its real-world applications.

My Tech Stack

Languages

C
C++
Python
Java
JavaScript
TypeScript

Frontend

React JS
Next JS
Vite
Figma
HTML5
Tailwind CSS

Backend

Node.js
Express.js
Flask
MongoDB
PostgreSQL

AI/ML & Data

TensorFlow
PyTorch
Pandas
NumPy
Scikit-learn
OpenCV

Tools

VS Code
Linux
Jupyter
Git

DevOps

GitHub Actions
Docker
GCP
Azure

My Achievements

Achievement Medal

Inter IIT Tech Meet 13.0

3rd Place - Chandrayaan-2 Data Analysis

Competed against all 23 IITs in this landmark event hosted by IIT Bombay. Our team analyzed Chandrayaan-2 XRF spectral data to detect elements like Calcium and Titanium on the lunar surface, using advanced ML techniques and statistical analysis.

XRF Spectral Data Analysis & Solar Flare Data Processing
Kriging Method for Data Gap Filling & 3D Lunar Surface Mapping
Team Collaboration with 8 Members from IIT Jodhpur
Inter IIT Tech Meet 13.0 Certificate - 3rd Place

Inter IIT Team Members

2024Lunar Research
Achievement Medal

IIT Ropar Tech Fest

3rd Place - Deepfake Detection Model

Secured 3rd place at IIT Ropar's tech fest with a Deepfake Detection Model using EfficientNetB0 architecture. Built a robust image classification system to distinguish between "fake" and "real" images using advanced transfer learning techniques.

EfficientNetB0 Transfer Learning Architecture
Image Classification
Fake vs Real Image Detection System
IIT Ropar Tech Fest Certificate - 3rd Place Deepfake Detection

Certificate of Achievement

2025Deep Learning

My Projects

ChatSphere

ChatSphere AI Chatbot Interface

AI Chatbot Interface

Interactive chat interface with NLP capabilities

ML Project

Successfully crafted and published an advanced Chatbot framework from scratch using Python with enhanced NLP capabilities, specifically designed for college environments. Features custom TF-IDF vectorization, multiple ML classifiers (Random Forest achieving 91.11% accuracy), and containerized deployment. Published on Ready Tensor platform.

PythonFlaskNLPMachine LearningDockerReactJS

NextCommerce

NextCommerce E-commerce Platform

E-commerce Platform

Modern shopping experience with cart functionality

Full-Stack Project

Built a modern e-commerce website with intelligent Product Recommendation System that suggests products based on user purchase history and recently viewed items. Features responsive design, Cart Management, User Authentication with Google integration, and optimized performance using Next.js and TypeScript.

Next.jsReactTypeScriptMongoDBExpress.jsC++

Deepfake Detection Model

EfficientNetB0 for fake image detection

Deep Learning Model

EfficientNetB0 for fake image detection

🏆 3rd Place Winner

Developed a robust image classification system using EfficientNetB0 transfer learning architecture to distinguish between fake and real images. This project secured 3rd place at IIT Ropar's tech fest, demonstrating advanced deep learning capabilities in detecting deepfakes and manipulated media.

PythonTensorFlowEfficientNetB0Deep LearningImage ClassificationTransfer Learning

Chandrayaan-2 Data Analysis

ISRO Chandrayaan-2 Data Analysis Interface

Lunar Data Analysis Platform

XRF spectral data processing & visualization

🏆 Inter IIT 3rd Place

Developed a comprehensive data analysis platform for ISRO's Chandrayaan-2 XRF spectral data processing and visualization. This project secured 3rd place at Inter IIT Tech Meet 13.0, competing against all 23 IITs in India. Implemented Kriging method for data interpolation, 3D lunar surface mapping, and element detection for Calcium & Titanium on the lunar surface.

PythonMachine LearningData ScienceSpace ResearchStatistical Analysis

Get In Touch

I'm always interested in hearing about new opportunities and connecting with fellow developers.

Send me a message

Let's connect

Email
agamhsingh@gmail.com
Mobile
+91 982-177-2005
Location
Noida, India

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