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NoirPrimordial7/README.md
Aditya Gholap / NOIR — an ink-and-paper collage with the N7 emblem.

Aditya Gholap / NOIR

AI/ML & Software Engineering · Cloud Computing
B.Tech CSE · MIT-ADT University · Pune, India · Class of 2027

I turn data into predictions, images into signals, and ideas into software.
My work spans machine learning, computer vision, and full-stack applications backed by cloud services.

Selected work ↓ · Toolkit ↓ · Résumé ↗ · Connect ↓

01 / Selected work

From models to applications. Five projects across forecasting, computer vision, local services, support workflows, and document AI.

AI-Powered Market Navigator — Python / TensorFlow / Keras / LSTM / Streamlit

ML prototype · Explores stock-price trends with an LSTM model, technical indicators, and Reddit/news sentiment in an interactive Streamlit workflow.
Source ↗ · Inside the project ↗

Wildlife Recognition & Intrusion Alert System — Python / TensorFlow / Keras / OpenCV / YOLOv8

Desktop prototype · Combines YOLOv8 detection with species classification, then confirms danger events with confidence thresholds, repeated detections, and alert cooldowns.
Source ↗ · Inside the project ↗

NearNest — React / Vite / Firebase Auth / Firestore

Application foundation · A local store and service platform with account flows, store registration saved to Firestore, and separate public and admin interfaces.
Source ↗ · Inside the project ↗

ResolveX — React / TypeScript / FastAPI / PostgreSQL / Docker

Full-stack helpdesk · A customer-support ticketing system with customer, support-agent, and admin roles, JWT/RBAC, assignment, comments, filters, and reassignment workflows.
Source ↗ · Inside the project ↗

TenderMate AI — Next.js / FastAPI / Supabase / Gemini

Tender-readiness MVP · Turns tender PDFs into AI-assisted analysis with private storage, user-scoped history, text extraction, and Gemini OCR fallback for scanned documents.
Source ↗ · Inside the project ↗ · Live app ↗


02 / What I build with

AI/ML: TensorFlow, Keras, LSTM, CNN, YOLOv8, OpenCV, Scikit-learn, Pandas, NumPy. Software: Python, Java, JavaScript, TypeScript, C, C++, Dart, React, Vite, Next.js, Streamlit, FastAPI. Data and cloud: Firebase, Firestore, PostgreSQL, Supabase, REST APIs, JWT/RBAC, Docker, AWS fundamentals.
Read the toolkit as text

AI / ML — TensorFlow · Keras · LSTM · CNN · YOLOv8 · OpenCV · Scikit-learn · Pandas · NumPy · Data analysis & visualization
Programming — Python · Java · JavaScript · TypeScript · C · C++ · Dart
Software / backend — React · Vite · Next.js · Streamlit · FastAPI · Firebase · Firestore · PostgreSQL · Supabase · REST APIs · JWT/RBAC · Docker · Git/GitHub
Cloud / infrastructure — AWS fundamentals · Networking · Virtual machines · Storage · Cloud security · Infrastructure management


03 / Experience — out in the field

PlaceMantra Private Ltd · Cloud Computing Intern
June–August 2025 · Pune

Project-based exposure to AWS fundamentals, networking, virtual machines, storage, cloud security, and deployment practices, with infrastructure troubleshooting and documentation.

Education

MIT School of Computing, MIT-ADT University
B.Tech CSE · Cloud Computing · 2024–2027 · CGPA: 8.0/10

AISSMS Polytechnic College, Pune
Diploma in Information Technology · MSBTE · 2024 · 80.31%


04 / Always learning

Sharpening problem-solving through my DSA learning journal ↗, building on AWS fundamentals, and exploring Kubernetes.


05 / Connect — say hello

Let’s talk about machine learning, software, or an idea worth building.

GitHub ↗ · LinkedIn ↗ · Email ↗

Made of questions. Built with code.

Popular repositories Loading

  1. Wild-Life-Recognition-System- Wild-Life-Recognition-System- Public

    Python 2

  2. nearnest nearnest Public

    JavaScript 1

  3. wildlife_intrusion_detection_system wildlife_intrusion_detection_system Public

    VanRakshak: a desktop wildlife-monitoring prototype with YOLOv8 detection, species classification, evidence and optional alerts.

    Python 1

  4. AI-Powered-Market-Navigator-main AI-Powered-Market-Navigator-main Public

    Python 1

  5. cortex-ai cortex-ai Public

    Conflict-aware and permission-safe enterprise knowledge intelligence — Phase 1 research

    TypeScript 1

  6. Noir Noir Public

    web pages of an institute with different sections. Use pulldown menus in one section and implement validation of menu selections. Use other sections for displaying information about respective sele…