u/Alive_Acadia4581

Bandai Entertainment's Mobile Suit Gundam Hathaway: The Sorcery of Nymph Circe debuted with an estimated $810K this weekend from 894 locations ($906 per theater average).
▲ 489 r/Gundam

Bandai Entertainment's Mobile Suit Gundam Hathaway: The Sorcery of Nymph Circe debuted with an estimated $810K this weekend from 894 locations ($906 per theater average).

u/Alive_Acadia4581 — 4 days ago

Working on a project called Multi-Sensor Fusion Based Personalized Environmental Monitoring System (PEMS) using ESP32 and wanted some feedback/suggestions

The system monitors AQI, UV, temperature, noise, and user activity in real time, then combines them into a single Exposure Score out of 100. Instead of giving alerts based only on instant values, I’m trying a time-based exposure model where longer exposure increases risk faster.

Example:

  • High AQI for 2–3 mins , small score increase
  • High AQI for 20–30 mins , much faster increase

I also used an accelerometer because I thought physical activity should affect exposure (more movement = potentially more inhalation). If the exposure score crosses 80+, an LED blinks and a alert message is sent to the user’s phone.

Currently using:

  • ESP32
  • MQ135(i know it isn't accurate but most of the aqi sensor is costly so made this has alternate)
  • BMP280
  • GUVA-S12SD
  • MAX9814
  • MPU6050
  • OLED display
  • ThingSpeak + Streamlit dashboard

Would love honest feedback from you guys. Does the time-based exposure idea make sense? Also, are there any improvements or integrations you think would make this more useful/practical?

u/Alive_Acadia4581 — 8 days ago
▲ 20 r/IOT

Multi-Sensor Fusion Based Personalized Environmental Monitoring System (PEMS) built using ESP32.

Hey guys, i made a project called Multi-Sensor Fusion Based Personalized Environmental Monitoring System (PEMS) built using ESP32.

The system monitors AQI, UV, temperature, noise, and user activity in real time, then combines them into a single Exposure Score out of 100. Instead of giving alerts based only on instant values, I’m trying a time-based exposure model where longer exposure increases risk faster.

Example:

  • High AQI for 2–3 mins , small score increase
  • High AQI for 20–30 mins , much faster increase

I also used an accelerometer because I thought physical activity should affect exposure (more movement = potentially more inhalation). If the exposure score crosses 80+, an LED blinks and a Telegram alert is sent to the user’s phone.

Currently using:

  • ESP32
  • MQ135(i know it isn't accurate but most of the aqi sensor is costly so made this has alternate)
  • BMP280
  • GUVA-S12SD
  • MAX9814
  • MPU6050
  • OLED display
  • ThingSpeak + Streamlit dashboard

Would love honest feedback from you guys. Does the time-based exposure idea make sense? Also, are there any improvements or integrations you think would make this more useful/practical?

u/Alive_Acadia4581 — 8 days ago

Rank Movie Name Japan Gross (¥) India Gross (₹ Cr)
1 RRR ¥2.42 Billion ₹135
2 Muthu ¥405 Million ₹24
3 Bahubali 2 ¥305 Million ₹18
4 3 Idiots ¥170 Million ₹10
5 English Vinglish ¥160 Million ₹9.5
6 Saaho ¥131 Million ₹8.5
7 Magadheera ¥130.1 Million ₹7.5
8 The Lunchbox ¥130 Million ₹7.5
9 Enthiran ¥110 Million ₹7.3
10 Dhoom 3 ¥105 Million ₹6
u/Alive_Acadia4581 — 23 days ago