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anshhh1101/README.md

Anshuman Dev

AI/ML · Data Science · Full-Stack
B.Tech CSE @ KIIT Bhubaneswar · CGPA 8.40 · Batch 2027

LinkedIn GitHub Email


About

I build AI-powered systems — from RAG pipelines and computer vision models to full-stack web apps. Currently in my placement year, targeting AI/ML, Data Science, and SWE roles. I care about shipping things that actually work, not just things that look good on paper.

  • 🏆 Top 50 — Smart India Hackathon 2025
  • 💻 400+ DSA problems solved (LeetCode + GFG)
  • 🎓 Google Data Analytics Professional Certificate · HackerRank SQL · Cisco NetAcad
  • 🎓 Data Science — CodeWithHarry · Power BI — ExcelR

Projects

TRAVELMAiT V2 — AI Travel Planner

Top 50 Smart India Hackathon 2025 · Live: travelmait-v2.vercel.app

Mood-based itinerary generation for offbeat Odisha destinations, group travel matchmaking, and multi-modal transport sorting. Built on a curated dataset of 100 Odisha locations with RAG-powered recommendations.

React Tailwind Flask MongoDB Atlas Groq (LLaMA-3.3-70b) Foursquare API JWT


StudyMind — RAG Teaching Assistant

Live: studymindv2-xi.vercel.app

Upload PDFs and ask questions in natural language. Full RAG pipeline with semantic chunking, HuggingFace embeddings (all-MiniLM-L6-v2), and Groq-powered LLaMA responses. Built end-to-end in 2 days.

FastAPI PostgreSQL React Tailwind Groq (LLaMA) HuggingFace Python


Optic Disc Detection — Retinal Image Segmentation

Comparative study of 4 methodologies for optic disc localization in fundus images — U-Net CNN, K-Means, DBSCAN, and traditional morphological CV. Best result: 92.92% Dice / 87.97% IoU with U-Net.

Method Dice IoU Pixel Accuracy
U-Net CNN 92.92% 87.97% 99.80%
K-Means 85.41% 77.98% 99.34%
DBSCAN 84.34% 76.40% 99.25%
Traditional CV 83.71% 76.83% 98.76%

PyTorch TensorFlow OpenCV Scikit-learn U-Net DBSCAN K-Means


End-to-end sentiment analysis pipeline on customer reviews — preprocessing, feature engineering, classification model, and an interactive Power BI dashboard surfacing actionable business insights.

Python Pandas NLTK Scikit-learn SQL Power BI


DPI Engine — Deep Packet Inspection in Java

A from-scratch deep packet inspection engine covering pcap parsing, TLS SNI extraction, DNS query analysis, and TCP connection tracking. Built as a serious networking systems project for placement prep.

Java Networking TLS pcap TCP DNS SNI


Tech Stack

Languages · Python · Java · JavaScript · SQL · C

AI / ML / Data · PyTorch · TensorFlow · Scikit-learn · Pandas · NumPy · OpenCV · HuggingFace · LangChain · NLTK · Power BI · Tableau

Web & Backend · React · FastAPI · Flask · Node.js · Tailwind CSS

Databases · PostgreSQL · MongoDB · MySQL

Tools · Git · GitHub · Docker · Jupyter · Google Colab · VS Code · Linux


Open to AI/ML, Data Science, and SWE internship opportunities

Pinned Loading

  1. TravelMAiT-V2 TravelMAiT-V2 Public

    AI-powered travel planner for Odisha | Mood-based itineraries, RAG + Groq LLM, Foursquare API | Top 50 Smart India Hackathon 2025

    JavaScript

  2. optic-disc-detection optic-disc-detection Public

    Optic disc segmentation in retinal fundus images | U-Net CNN (92% Dice), K-Means, DBSCAN, traditional CV | Comparative study for glaucoma & diabetic retinopathy detection

    Python

  3. studymind studymind Public

    RAG-based AI teaching assistant | FastAPI, PostgreSQL, Groq (LLaMA), HuggingFace embeddings, React + Tailwind | Ask questions, get explanations from your own study material

    JavaScript

  4. Deep-Packet-Inspection Deep-Packet-Inspection Public

    Deep Packet Inspection engine in Java | TLS SNI extraction, pcap parsing, connection tracking | Built for networking placement prep

    Java

  5. Customer-Feedback-Sentiment-Analysis Customer-Feedback-Sentiment-Analysis Public

    NLP-based customer feedback sentiment analysis | Pandas, NLTK, Scikit-learn, SQL | Interactive Power BI dashboard for business insight visualization

  6. Ocular-Health-Analytics-Dashboard Ocular-Health-Analytics-Dashboard Public

    An end-to-end clinical data engineering and Power BI dashboard solution that automates glaucoma risk detection, achieving a 40% efficiency gain in patient triage.

    Python