Sanchita Suryavanshi (@sanchita1910)
  • Stars
    star
    18
  • Global Rank 684,145 (Top 24 %)
  • Followers 2
  • Following 1
  • Registered almost 5 years ago
  • Most used languages
    Python
    25.0 %
    PHP
    12.5 %
    Go
    12.5 %
    HTML
    12.5 %
    C
    12.5 %
  • Location 🇮🇳 India
  • Country Total Rank 31,634
  • Country Ranking
    Go
    2,958
    C
    5,524
    PHP
    8,271

Top repositories

1

Stock-market-prediction

Stock Market Prediction using Deep Learning and Markov Chain Models The models is combination of RNN ( Recurrent Neural Network ), MCM’s( Markov Chain Models ), LSTM( Long Short Term Memory)
Jupyter Notebook
5
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2

medical-chatbot

Offline disease identification chatbot
Python
1
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3

Parallel-and-Distributed-computing

Implementing Flyod Warshall algo parallely
C
1
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4

Face-mask-detection-model

To identify the mask, TensorFlow/Keras is used to preprocess and create the model. Using an efficient neural network and MobileNetV2 model from Keras/ TensorFlow this model is developed
Python
1
star
5

DETECTION-OF-PNEUMONIA-BY-ANALYZING-CHEST-X-RAY-IN-HUMANS

Image Processing project-DETECTION OF PNEUMONIA BY ANALYZING CHEST X-RAY IN HUMANS
1
star
6

Parallelization-of-FLoyd-Warshall-Algo-using-MPI

Parallel and Distribute Computing Project
1
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7

Real-Time-Object-Detection-with-Voice-Feedback-using-Opencv-and-gTTS

Human Computer Interaction project- Real Time Object Detection with Voice Feedback using Opencv and gTTS
1
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8

Meeting-API_MongoDb-and-Go

Go
1
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9

-Microproccessor-Interfacing-automatic-streetlight

Microprocessor & Interfacing concepts applied to make Automatic street light
1
star
10

road-surface--pothole-detection

Detects rough roads / potholes based on IOT principles and sensors and gives accurate location and sms alert.
1
star
11

STOCK-MARKET-TREND-PREDICTION

Stock market trend prediction and analysis using deep learning models and Visual representation along with sentiment analysis on stock market news . And Trading agents whcih plan investment strategy based on input of the best deep learning model.
Jupyter Notebook
1
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12

Software-Engineering-proj

Movie Recommendation and Critique System
HTML
1
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13

Waste-Management-website-

The E-waste project has various functionalities and extends to various log-ins and further going to respective modules for extracting the data or may be entering their own field information.So we have various modules divided further: • Homepage • Driver login • Company Registration • Van/Vehicle Registration • E-commerce The modules and further dynamic pages are not fixed yet, so various modules like feedback ,payments These webpages are further connected to the database
PHP
1
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