I'm Harsh Dabas currently pursuing B.Tech CSE (AI/ML)
What I’m working on right now:
Building: Models , Neural Networks (Keras & Tensorflow) and Web backends.
Data Analyzing: With Pandas & NumPy.
Managing Data: Working with SQL (PostgreSQL is just so good).
Learning: Currently strengthening my core programming concepts with C++ , Machine learning and DSA.
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05:37
(UTC +05:30) - https://harshdabas.is-a.dev
Highlights
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Face-Recognition-CV
Face-Recognition-CV PublicFace Recognition Project using OpenCV , Mediapipe for live recognition with Gender recognition and Emotion detection using Simple CNN.
Python
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Intelligent-Data-Dictionary-Agent
Intelligent-Data-Dictionary-Agent PublicA full-stack Natural Language to SQL (NL2SQL) application that lets users connect to enterprise databases, generate comprehensive data documentation, and query data using plain English — powered by…
Python 2
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VibeCheck
VibeCheck PublicA zero-latency, privacy-first floating desktop sentinel that tracks user fatigue via system telemetry and visualizes cognitive state through a dynamic 3D neon ribbon.
TypeScript
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Neural-Networks
Neural-Networks PublicPractice Repo for Making and Understanding of Neural Networks.
Jupyter Notebook
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PDF-RAG-Engine
PDF-RAG-Engine PublicA lightweight, local Retrieval-Augmented Generation (RAG) engine that extracts text from PDFs, generates vector embeddings, stores them in a local Qdrant vector database, and retrieves the most rel…
Python 1
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Vector-Search-CLI
Vector-Search-CLI PublicA completely local, command-line based semantic search engine for your personal notes. This project uses Qdrant as a local vector database and SentenceTransformers (specifically all-MiniLM-L6-v2) t…
Python 1
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