• 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 ...
• Dementiacare; health monitoring and productivity 

  Nusrat Jahan; Rathod, Pooja (19CO06); Sayed, Zahra (19CO07); Ansari, Azad (19CO14); Khan, Haarish (19CO18) (AIKTC, 2023-05)

  Dementia is a neurocognitive disease that affects millions of people worldwide, and the number of patients is expected to increase significantly in the coming years. In response to this growing problem, the DementiaCare ...
• Fashion recommendation system 

  Khan, Tabrez; Nagori, Mohd Ali (17CO37); Khan, Mohd Saqibe (19CO30); Khan, Mohd Arham (20DCO05); Khan, Nemat Roshan (20DCO06) (AIKTC, 2023-05)

  With an increase in the standard of living, peoples’ attention gradually moved towards fashion that is concerned to be a popular aesthetic expression. Humans are inevitably drawn towards something that is visually more ...
• Arba-business listing portal 

  Abdul Majid (AIKTC, 2023-05)

  This paper describes the project on the topic of Arba-Business Listing Portal. It is business listing site which help the user to gain fund from investors and also let the expert business user to guide new business comers. ...
• Face recognition attendance system 

  Shaikh, Salim; Mukadam, Ismail (19CO42); Shaikh, Fuzail (19CO53); Ansari, Mohd Sajjad (19CO61) (AIKTC, 2023-05)

  The current attendance procedure is manual, which is time-consuming for both teachers and students. Manual attendance recording can lead to human errors, and students may have to wait for a long time to be marked present. ...
• Snap illegal parking 

  Jamkhandikar, Irfan; Deshmukh, Awais (19CO17); Siddiqui, Altamash (19CO57); Shaikh, Navaid Ahmed (19CO55); Shaikh, Mohd Saif (19CO54) (AIKTC, 2023-05)

  The report outlines the development and effectiveness of a Snap Illegal Parking application that enables citizens to report illegally parked vehicles to the government in exchange for reward points. The application aims ...
• Mental health tracker app 

  Qureshi, Rehaal; Siddiqui, Arbaaz Gaffar (19CO58); Shaikh, Shahid Zakir Husen (17CO46); Siddiki, Jasmin Nizam (18CO13); Jamadar, Abdussamad (18CO25) (AIKTC, 2023-05)

  Mental Health is a very important issue in today’s world . As in these days, a lot of people now working from home and even companies are preferring work from home, the mental health situation of the people has nose-dived ...
• Real time sign language translator for video conferencing platforms 

  Shaikh, Salim; Mullick, Touhid Islam (19CO45); Khan, Rehan (19CO32); Shaikh, Mohd Danish (19CO63); Sayyed, Md Ali (19CO50) (AIKTC, 2023-05)

  Sign Language is the method of communication of mute people all over the world. There are about 70 Million sign language users around the world. But only a few percent of people who can hear and speak know sign language. ...

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