Akshara

Akshara

Student

Delhi Software Development
9roles
17skills
3education
6credentials

About

A student of computer science with a long-term interest in software development and mobile app development. Demonstrate expertise in using different tools to develop apps and fix bugs while applying new technologies to solve technical problems. Exceptional team player with a proven record of researching and analysing solutions applying systems designing, object-oriented design concepts, algorithms and databases to create use cases simulating real-life situations.

Experience

Content Team Lead

Young Communicators Club

9 mos

Member

Young Communicators Club

2 yrs 6 mos

Social Media and Content Manager

Algo Zenith Shoolini

1 yr 9 mos

Entrepreneur

The Runecore Store

2 yrs 8 mos · India

A handmade crochet clothing teenage enterprise

Member

National Service Scheme

2 yrs 9 mos

Student at Shoolini University

Shoolini University

2 yrs 10 mos

Co-Founder

BondBox

6 mos

Official Campus Ambassador at International MUN

International MUN

1 yr 3 mos

Student

King's College India

1 yr 11 mos · India

Education

Shoolini University

B.Tech, CSE AI

2023-2027

Shoolini University

Bachelor of Computer Science and Engineering

2023 – Present

8.68 CGPA

Kings’ College India

AS & A Levels (12th)

2021 – 2023

3A|1B

Skills

PythonReactJSJavaScripC++SQLOpenCVMachine LearningJavaC LangGitHubFlaskRESTAngularAzureGitJavaScriptC

Projects

JaamCTRL – AI Adaptive Traffic Signal Optimizer

Simulated a three-intersection Indian arterial corridor in SUMO with heterogeneous traffic. Engineered a central PPO reinforcement learning agent using stable-baselines3, GPS heatmap density, and per-signal queue lengths to coordinate green-time adjustments. Reduced average vehicle delay by over 50% against fixed-time baselines and validated results through a Streamlit dashboard.

AttenShield – AI-Based Anti-Distraction Monitoring System

Developed a real-time computer vision system using face detection and tracking to monitor user attention, process live video frames, detect face orientation and engagement patterns, and trigger automated feedback mechanisms.

MoodMix – Emotion-Based Music Recommendation System

Built a machine learning mood classification pipeline to detect emotional states from input data, applying preprocessing and model tuning to improve prediction accuracy and exploring personalization use cases.

Volunteering

Contributor to cancer fundraising through handmade crochet and trinkets

The RuneCore Store X LilacOculi