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DSpace at My University: Recent submissions

  • Periodic Papers Sessional (2) - Sem I - PCI (SoP) 
    SoP (AIKTC - SoP, 2023-03)
    HAP-1; Pharm. Analysis; PIC; P.Ceutics-1; Remedial Mathematics
  • Periodic Papers Sessional - Sem VII - PCI (SoP) 
    SoP (AIKTC - SoP, 2023-08)
    Instrumental method of analysis; IP-II; Pharmacy Practice; NDDS
  • Periodic Papers Sessional - Sem V - PCI (SoP) 
    SoP (AIKTC - SoP, 2023-08)
    Med.Chem-II; Industrial Pharmacy-1; P.Jurisprudence; P.Cognosy and phutochemistry- II
  • Periodic Papers Sessional - Sem IV - PCI (SoP) 
    SoP (AIKTC - SoP, 2023-02)
    POC-III; P.Cology-1; PIC; PP2; Med.Chem-1
  • Periodic Papers Sessional - Sem III - PCI (SoP) 
    SoP (AIKTC - SoP, 2023-10)
    POC-II;P.Ceutics-1; Microbiology; Pharm.Engineering
  • Periodic Papers Sessional - Sem I - PCI (SoP) 
    SoP (AIKTC - SoP, 2023-02)
    HAP-I; P.Ceutics-1; Remedial Mathematics; P.Analysis
  • SYBSC.IT Syllabus- CBCS- 2023-24 
    University of Mumbai; University of Mumbai (University of Mumbai, 2023)
  • DSD soft 
    Ansari, Abdul Majid; Pangarkar, Rabiya (19CO05); Khan, Shoab (19CO33); Khot, Shehzad (19CO35); Qurishe, Mohd Ziyaulhaq (19CO37) (AIKTC, 2023-05)
    Direct store delivery (DSD) software is a powerful solution that streamlines the delivery process for businesses that deliver products directly to stores or customers. This software system architecture includes components ...
  • Didactic solutions 
    Qureshi, Rehaal; Khan, Muskan (19CO02); Khan, Sana (19CO03); Shaikh, Zikra (19CO08); Khan, Aftab (19CO23) (AIKTC, 2023-05)
    Didactic Solutions As technological advancements continue to reshape the corporate landscape, it is crucial to update training methodologies to improve work efficiency. E-Learning has emerged as a vital component of ...
  • Eyedesk 
    Ansari, Abdul Majid; Shaikh, Nadir (15CO38); Sayyed, Sohail (18CO48); Kadav, Rutuja (19CO01); Thube, Vaishali (19CO09) (AIKTC, 2023-05)
    Improving efficiency and performance is an important topic in the world today.Our project Eyedesk includes registration of patients, storing their details into the system, and also booking their appointments with doctors.Our ...
  • Voice controlled e-commerce 
    Nusrat Jahan; Mapari, Simran (19CO04); Shaikh, Alfiya (19CO62); Aga, Fiza (20DCO01); Patil, Aditi (20DCO07) (AIKTC, 2023-05)
    This project aims to develop a voice-controlled e-commerce platform that enables users to shop for products using voice commands. The project utilizes modern natural language processing and voice recognition technologies ...
  • Product recommendation system using ML 
    Dange, Anas; Baig, Sahil (19CO49); Sirkazi, Ruzbihan (19CO48); Mohd., Aasif (19CO36); Ulde, Kais (19CO46) (AIKTC, 2023-05)
    Product Recommendation System Using ML In today’s modern epoch of information technology, the idea of efficiently finding one’s favourite product in a large dataset of application database, becomes an essential issue to ...
  • Disease prediction using machine learning and image processing 
    Dange, Anas; Haddadi, Amir (19CO19); Khan, Shahrukh (19CO51); Husen, Mohd Altaf (19CO41); Qureshi, Mohd Zaki (19CO40) (AIKTC, 2023-05)
    Current machine learning models for healthcare analysis focus on one disease per analysis, such as diabetes, liver, malaria, pneumonia diseases. Our project aims to predict multiple diseases using machine learning algorithms, ...
  • E-commerce Dapp 
    Mishra, Richa; Kadiri, Saud (19CO21); Khan, Anas (19CO24); Khan, Farhaan (19CO26); Shikalgar, Farhan (19CO56) (AIKTC, 2023-05)
    Improving efficiency and performance is an important topic in the world today. As it is well-known, cooperative computing is an effective and traditional approach, and it is widely used in various fields. Inspired by ...
  • Stock analysis and prediction website 
    Mishra, Richa; Shaikh, Muhammad Huzaifa (18CO40); Bagdadi, Ameeruddin (19CO12); Khan, Raquib (19CO31); Qureshi, Mohammed Usman (19CO47) (AIKTC, 2023-05)
    In this project we attempt to implement machine learning approach to predict stock prices. Machine learning is effectively implemented in forecasting stock prices. The objective is to predict the stock prices in order ...
  • Machine learning approach of price prediction 
    Jamkhandikar, Irfan; Mohammad Farhan, (19CO38); Shaikh, Afsar Ahmed (19CO52); Thokan, Naveed Naushad (19CO60) (AIKTC, 2023-05)
    This paper presents a Laptop price prediction system by using the supervised machine learning technique. The research uses multiple linear regression as the machine learning prediction method which offered 85% prediction ...
  • Blockchain based e-voting system 
    Kazi, Samreen Banu; Ansari, Anas (20DCO02); Bhatkar, Zohaib (20DCO03); Khan, Absar (20DCO04); Shaikh, Anas (20DCO08) (AIKTC, 2023-05)
    Electronic voting or e-voting has fundamental benefits over paper based systems such as increased efficiency and reduced errors. The electronic voting system tends to maximize user participation, by allowing them to vote ...
  • Voice bot for mall 
    Dange, Anas; Gupta, Shailesh (18CO23); Khan, Mohd Zeeshan (18CO33); Khan, Mohd Usman (19CO29); Mohd Yusuf, Ashfaque (19CO39) (AIKTC, 2023-05)
    A voice bot for a mall project can be a great addition to enhance the user experience and provide convenience to visitors. The voice bot can be designed to understand the user’s needs and assist them with finding locations ...
  • Home Inventory with ML 
    Khan, Tabrez; Khan, Farhan (19CO27); Khan, Zaki (19CO34); Mulla, Saad (19CO43); Siddiqui, Ehtesham (19CO59) (AIKTC, 2023-05)
    This paper describes the project on the topic of Home Inventory management system, it is a mobile application that is use for the track home inventory. It has a built-in intelligence system that make user work easy. In ...
  • Social media enabled gym management system 
    Kazi, Samreen Banu; Dolare, Daniyal (19CO15); Dawnak, Sufyan (19CO16); Baig, Hamza (19CO20); Kazi, Uzair (19CO22) (AIKTC, 2023-05)
    Social Media is an innovative application dairy happened. In this study, we propose a social media-enabled gym management system. Through the system, the manager of a gym can easily track and trace the exercise status ...

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