Samin Saikia
@Samin-SaikiaPython • Backend • AI/ML • Full-Stack Building AI-powered agents and scalable ML models. Focused on robust systems and seamless user experiences.
Language Breakdown
Lines of code distribution across 25 owned repositories
Pi-Shaped Developer
π-shapedTwo strong pillars: Python & HTML
Collaboration Network
Global Impact visualization
Repos
25
PRs
0
Growth
+18%
Top Collaborators
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Coding Streak
Contribution activity over the past year
deepaksingh555
@deepaksingh555
Lawrence Lane
@lbliii
KyuSeon Ra
@fkrbtjs
Nee Dookudu
@NeeDookudu
gulleh5002-spec
@gulleh5002-spec
Top Repositories
A locally-hosted AI research agent that autonomously searches the web, synthesizes results, and streams comprehensive reports in real time Reads PDF, DOCX, TXT, MD. Exports to all formats powered by groq API and serper API
Architect → Build → Test → Document. A fully automated, human-in-the-loop AI pipeline that takes a project idea from concept to documented codebase using specialized LLM agents
MAXUS is a modular AI assistant built using the Groq API, combining large language models, multimodal vision processing, voice interaction, and persistent memory into a unified AI console. Inspired by cinematic AI systems, This is not just a chatbot. This is a self-contained AI engine.
A desktop utility tool built with Python and Tkinter that scans a directory, categorizes your files, finds duplicates, flags large and old files, and lets you organize everything into sorted folders — all through a clean GUI. No internet connection required. No installation needed beyond Python itself.
GitHub analytics dashboard built with Flask, SQLAlchemy and Chart.js. OAuth login, background sync, commit heatmap, language distribution and hourly activity charts
🧠 Brain MRI classifier built with MobileNetV2 transfer learning — 88.1% accuracy, TFLite optimized, deployed on Render. Full pipeline: Google Colab training → Flask API → live web app. No local environment used.
ML-powered product review sentiment analyzer — TF-IDF + Linear Regression trained on 190K+ Flipkart reviews, served via Flask REST API with a stunning frontend. Live on Render.
The Interactive Graph Plotter is a lightweight Python application that allows users to input mathematical equations and visualize them interactively. This project uses sympy for symbolic mathematics, numpy for numerical computations, and plotly for creating interactive graphs.
Intelligent Student Performance Predictor is a Flask-based ML web app that predicts a student’s expected exam score using study hours, attendance, sleep, and past performance. Built with Linear Regression, it showcases a complete ML workflow—from preprocessing and training to evaluation and real-world deployment.
Open Source Impact
Contributions to external projects
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