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IIT Roorkee ECE'28

Shivansh Yadav

ECE student at IIT Roorkee bridging hardware and software — building intelligent agentic AI systems, applied ML solutions, and full-stack applications in fast-paced environments.

Shivansh Yadav
8.7
CGPA
0
JEE Adv. Rank
0
Projects
ECE
Branch
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About Me

Engineering with
purpose

I'm Shivansh Yadav, a B.Tech student in Electronics & Communication Engineering at IIT Roorkee (CGPA 8.7). I secured AIR 3286 in JEE Advanced and AIR 3500 in JEE Mains.

My interests span full-stack web development (MERN Stack), AI/ML, and core electronics. I enjoy building real-world solutions — from placement portals with AI chatbots to hardware signal detectors.

Machine Learning
Deep Learning
RAG
Agentic AI
Data Science
C++
MERN Stack
Electronics
Education
2024–2028
B.Tech in ECE
IIT Roorkee · CGPA: 8.7
2023
Class XII (ISC Board)
96.4%
2021
Class X (ICSE Board)
97.5%
Selected Work

Projects that
matter

GitHub →
AI
MERN Stack · AI
01
Place Desk

Placement management portal built with MERN Stack. Features an AI-powered RAG chatbot for student queries on company cutoffs and automated email segregation for recruitment notifications.

Hardware · RF
02
2.4GHz ASK Signal Detector

Designed and fabricated a hardware receiver for the 2.4GHz band using an Envelope Detector circuit to demodulate ASK signals, with LED array visualization of the output.

7490 7447 CLK 0 1 0 0 1 0 1 0
Digital Logic
03
4-Bit Synchronous MOD-10 Counter

Implemented a synchronous MOD-10 counter using logic ICs, interfaced with a 7-segment LED display via BCD-to-7-segment decoder. Demonstrated hardware synchronous counting.

$450K
Python · PyTorch · ML
04
Multimodal House Price Prediction

Hybrid neural network combining CNNs (image features) and MLPs (tabular data) for real estate price prediction. Reduced MAE by 15% over baselines, processing 10,000+ listings with optimized pipelines.

scammer honeypot UPI: xxx@ybl CAPTURED ✓ 7 GUARD LAYERS
FastAPI · LLM · React
05
Agentic Scam Honeypot System

AI-powered conversational honeypot (Top 2% at GUVI x HCL Hackathon). Groq LLM persona simulation with 7-layer anti-detection guardrails, multi-signal scam detection, and regex intelligence extraction for UPI IDs, bank accounts & phishing links.

SOURCE DOC RAG LLM OUTPUT claim 1 ✓ claim 2 ✗ claim 3 ✓ claim 4 ✗ TRUST 60%
React · FastAPI · LangChain · ChromaDB
06
Hallucination Hunter

DATAFORGE National Finalist (E-Summit '26): Full-stack RAG system that detects LLM hallucinations against source documents. FastAPI/LangChain backend with React UI to process atomic claims, utilizing vector search for real-time trust scores and automated correction suggestions.

STAMP LOAN INVOICE EasyOCR OpenCV Contour Regex Name ✓ Amount ✓ OFFLINE ⚡
OpenCV · EasyOCR · Python
07
Offline Document AI Extractor

Convolve 4.0 Hackathon: Local computer vision pipeline to parse highly variable loan invoices without paid cloud APIs. Extracted text, signatures, and stamps using EasyOCR, contour analysis, and regex pattern matching. Built robust fallback mechanisms for faded ink, handwritten text, and rotated documents.

Recognition

Certificates &
achievements

Let's Connect

Open to internships, project collaborations, and interesting engineering challenges. Feel free to reach out.

shivanshsdp@gmail.com