class AkshitSharma:
def __init__(self):
self.name = "Akshit Sharma"
self.university = "SRMIST β B.Tech CSE"
self.focus = ["Computer Vision",
"Applied ML",
"MLOps"]
self.current = "Building deployable AI pipelines"
self.interest = "Where research meets production"
def say_hi(self):
print("Thanks for dropping by!")
print("Let's build something great.")
me = AkshitSharma()
me.say_hi()
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| π·οΈ Project | π What It Does | π οΈ Stack | π |
|---|---|---|---|
| π₯ Forest Fire Prediction System | Multi-task neural network (STW-BP) predicting wildfire occurrence and intensity across India using NASA MODIS satellite data β custom adaptive feature-weighting, ~98% accuracy | TensorFlow XGBoost Scikit-learn |
β Repo |
| πΎ AI Vision System β Crop, Soil & Pest | End-to-end crop disease detection, pest identification & soil analysis β FastAPI backend with working web frontend | PyTorch FastAPI MobileNetV2 EfficientNet |
β Repo |
| π Star Cluster Segmentation | Automated detection and segmentation of star clusters in astronomical telescope images using YOLOv8 instance segmentation | Python YOLOv8 Computer Vision |
β Repo |
| πΆ Pedestrian Detector | Real-time pedestrian detection in video using YOLOv4-tiny + OpenCV DNN, with non-max suppression | Python OpenCV YOLOv4 |
β Repo |
| π TradeConnect | Responsive export-sourcing brokerage site with scroll animations & contact form | HTML CSS JavaScript |
β Repo Β· βΆ Live |