Janvi Bajpai

Neera Quality Monitoring

Role: Student Researcher

• Analyzed quality degradation over time observed ~60–70% freshness decline
• Collected and processed sensor data, documented insights using Excel, and identified patterns affecting shelf life.

Tech: Arduino, Sensors, Excel

EcoCalc – Carbon Emission Calculator for Buildings

Role: Lead Developer

https://github.com/bajpaijanvi18-afk/carbon-wise-homes https://carbon-wise-frontend-jacy.onrender.com/

• Built a full-stack web application to estimate building emissions and generate sustainability scores, addressing the ~37% of global CO emissions contributed by the built environment.
• Designed scalable REST APIs and a normalized SQL database (ER model) for historical tracking and scenario analysis.

Tech: React.js, TypeScript, Node.js, Express.js, REST APIs, SQL, Tailwind CSS, ER Model

Digital Twin for Solar Panel System (Predictive Maintenance & Optimization)

Role: Lead Developer

• Engineered an IoT-enabled digital twin of a motorized solar system, enabling real-time multi-sensor monitoring and achieving ~5–15% efficiency optimization through data-driven control.
• With predictive maintenance and fault diagnosis, reducing avoidable performance degradation by ~10–25% and improving system reliability

Tech: Digital Twin Systems, IoT, Data Analysis, Data Visualization, MATLAB, GUI, Arduino

Virtual Factory Digital Twin with VR-Based Safety Simulation

Role: Lead Developer

• ad Developer Designed and developed a 3D virtual factory integrated with a real-time digital twin (Unity + Python).
• Eabling multi-machine monitoring and anomaly detection, improving fault identification efficiency by ~15–20%.
• Control dashboards and real-time feedback, targeting ~20–30% faster response to industrial hazards through guided actions and simulation-driven learning.

Tech: Unity, Python, Digital Twin Systems, IIoT, Anomaly Detection, Streamlit, REST APIs, VR

AI-Based Gearbox Anomaly Detection

Role: Lead Developer

• Developed machine learning models using sound data to detect gearbox faults.
• Implemented KNN, Decision Tree, and Random Forest algorithms, achieving ~88.6% accuracy.

Tech:MATLAB, Machine Learning

Heat Aid (Startup)

Role: Co-Founder

• Developing wearable heating glove targeting arthritis patients
• Leading research, product design, and hardware prototyping in the early development phase.

Tech/Skills: Entrepreneurship,Product design,Research,Electronics,Assistive Healthcare Technology, Hardware Prototyping

Smart Garbage Monitoring

• Monitored garbage levels using sensors to optimize waste collection
• Improved efficiency by enabling timely pickups and reducing overflow issues.

Tech/Skills: Sensors, ESP32,Thinkspeak,Digital Dashboard