# Manasi Acharya

> Portfolio of Manasi Acharya, an Artificial Intelligence undergraduate at Kathmandu University building machine learning, computer vision, generative AI, and multi-agent systems projects.

## Site

- Homepage: https://manasi.com.np/
- Resume: https://manasi.com.np/Manasi_Acharya_CV.pdf
- Social preview image: https://manasi.com.np/og-image.png

## Profile

Manasi Acharya is an Artificial Intelligence student and developer based in Kathmandu, Nepal. Her portfolio highlights work in machine learning, deep learning, computer vision, NLP basics, generative AI, and multi-agent reinforcement learning.

## Projects

- Multi-Agent Traffic Signal Optimization: cooperative multi-agent reinforcement learning for adaptive traffic signal policies in simulation, focused on Nepal's Koteshwor Corridor.
- Aahar — AI Nutrition Tracker: food recognition and calorie/macronutrient estimation from meal photos.
- Devanagari Number Plate Detection: vehicle number plate recognition for Nepali Devanagari-script plates.
- Automatic Home Surveillance System: face detection and authentication using SCRFD and DeepFace.
- StockLearn: financial literacy application with spike detection for the Nepali stock market.

## Skills

- AI and ML: Machine Learning, Deep Learning, Generative AI, Computer Vision, Data Analysis, NLP Basics, Multi-Agent RL
- Tools and libraries: PyTorch, YOLOv7, SCRFD, DeepFace, SUMO
- Languages and frameworks: Python, TypeScript, Flutter, React Native, NestJS, Flask, MongoDB

## Education

- Kathmandu University: Bachelor of Technology in Artificial Intelligence, Dec 2022 to present
- Khwopa Secondary School: +2 in Science, 2019 to 2021

## Recognition

- 1st Runner Up, AI Education & Innovation Hackathon, 2025
- 1st Runner Up, Geo-Ideathon, 2025
- 2nd Runner Up, Aavishkar Ideation Competition, 2025

## Contact

- Email: contact@manasi.com.np
- GitHub: https://github.com/manasi00
- LinkedIn: https://www.linkedin.com/in/manasi0/